Q

Quantiphi

AI-driven digital transformation and automation services

Technical Program Manager

Full-TimeUpdated on 10/23/2026
No salary listed
Expert
Bachelor's, Master's
Remote in Canada+1 moreMore locations: United States
Remote
Project & Program ManagementProgram Management

About the job

Requirements
  • A bachelor's or master's degree in Computer Science, AI/ML, Data Science, or a related technical field.
  • At least 10 years of experience in technical program management, AI/ML product delivery, or cloud-based AI solutions.
  • Deep understanding of AI/ML infrastructure for training and inference.
  • Proficiency in cloud AI platforms such as AWS SageMaker, GCP Vertex AI, or Azure ML.
  • Knowledge of natural language processing, prompt engineering, retrieval-augmented generation, and generative AI architectures.
  • Proven ability to lead large-scale AI/ML projects with cross-functional teams.
  • Strong stakeholder management skills and ability to translate AI concepts into business impact.
  • Expertise in Agile methodologies, Jira, and backlog management.
  • Experience managing budgets, contracts, and vendor relationships in AI/ML projects.
  • Problem-solving, communication, and leadership skills.
  • Ability to manage uncertainty in AI research and development.
  • Strong analytical mindset and a customer-first approach.
Responsibilities
  • Define and drive the Generative AI Center of Excellence roadmap, ensuring alignment with business objectives.
  • Develop and execute project plans for AI infrastructure setup, fine-tuning open-source large language models, question-and-answer bot user interfaces, and natural language querying.
  • Establish and track key performance indicators, service-level agreements, and success metrics for AI-driven solutions.
  • Ensure on-time delivery, scope adherence, and risk mitigation in AI projects.
  • Lead cross-functional teams including machine learning engineers, software engineers, DevOps, and data scientists for effective AI execution.
  • Act as a trusted advisor to enterprise clients, ensuring continuous value delivery and adoption of Generative AI solutions.
  • Identify opportunities for expansion and additional AI services.
  • Manage stakeholder relationships and set clear expectations for AI project outcomes.
  • Facilitate Agile ceremonies and collaborate with engineering, machine learning operations, and product teams for seamless AI development.
  • Coordinate infrastructure provisioning, model deployment, and performance optimization with DevOps.
  • Maintain and refine technical documentation, backlogs, and sprint reports.
  • Oversee AI model deployment on AWS, Google Cloud Platform, and Azure, ensuring scalability, security, and cost optimization.
  • Guide teams on AI pipeline automation, continuous integration and continuous delivery for machine learning models, and machine learning governance best practices.
  • Ensure regulatory compliance and data privacy adherence in AI-driven healthcare and life sciences solutions.
Desired Qualifications
  • Prior experience building AI Centers of Excellence or AI strategy teams.
  • Scrum Master certification or Project Management Professional certification.
  • Experience with large language model fine-tuning techniques including supervised fine-tuning, low-rank adaptation, and quantized low-rank adaptation, and with Generative AI use cases.
  • Strong grasp of machine learning operations best practices, AI observability, and model deployment strategies.

About the company

Quantiphi uses AI and digital engineering to help businesses transform by improving products, services, and operations. It designs and builds tailored AI, automation, and data analytics solutions based on client challenges and deploys them under long-term contracts with ongoing support. It differentiates itself by delivering end-to end, customized implementations and maintaining long client relationships, plus partnerships with Google Cloud for integrated deployments. Its goal is to embed AI to make organizations smarter, safer, and more efficient, driving digital transformation.

Company Size

1,001-5,000

Company Stage

Series A

Total Funding

$23.4M

Headquarters

Marlborough, Massachusetts

Founded

2013

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Simplify's Take

What believers are saying

  • April 2026 Google named Quantiphi Partner of the Year across four categories.
  • June 2026 Quantiphi achieved AWS Business Value Realization Competency, strengthening outcome-based selling.
  • Revelio estimated 4,707 employees in March 2026, while hiring rose 69.3%.

What critics are saying

  • Headcount fell 9.6% from 2023 to March 2026, showing services-margin pressure.
  • Google Cloud and AWS control distribution; partner priorities can shift by 2027.
  • If Google Cloud and AWS internalize agentic delivery, Quantiphi becomes replaceable.

What makes Quantiphi unique

  • June 2026 AWS named Quantiphi First Preferred Quick SI Partner, signaling rare platform trust.
  • August 2026 Google Cloud chose Quantiphi launch partner for Gemini Enterprise Financial Services.
  • Candyspace's March 2026 acquisition adds human-centered design to Quantiphi's AI engineering stack.

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Benefits

  • Professional Development Budget
  • Conference Attendance Budget
  • Performance Bonus

Growth & Insights and Company News

6 month growth

-1%

1 year growth

0%

2 year growth

-1%
Quantiphi
Oct 21st, 2026
Quantiphi named a Representative Vendor in gartner(r) Market Overview of AI Agents for Healthcare Providers.

Quantiphi named a Representative Vendor in gartner(r) Market Overview of AI Agents for Healthcare Providers. MARLBOROUGH, MASS. - Quantiphi, an AI-native services company, today announced it was named a Representative Vendor in the Gartner Market Overview of AI Agents for Healthcare Providers. The report highlights the rapidly evolving market for agentic clinical and operational workflows. Quantiphi's inclusion reflects its work helping healthcare organizations deploy governed, human-in-the-loop agentic workflows across clinical, administrative and operational use cases, including revenue cycle management, patient engagement, care coordination, clinical decision support and other high-friction workflows where reliability, interoperability and governance are critical. "Healthcare is entering a phase where AI will increasingly participate in the workflows that shape care delivery and operations, reducing costs and improving the patient experience," Quantiphi Global Head of Healthcare and Life Sciences Sunil Kumar said. "The opportunity is significant, but so is the responsibility. Quantiphi is building agents that understand healthcare context, operate within strong guardrails and deliver measurable value to healthcare providers without compromising trust or control." The Gartner report identifies governance, real-time oversight, accountability, interoperability and architectural flexibility among the key considerations for healthcare organizations scaling AI agents. Quantiphi's approach involves engineering agentic workflows to run within a healthcare provider's secure environment and integrate with existing EHR infrastructure rather than require a wholesale operating-model overhaul. The approach is designed to give organizations total control over their clinical data, context and institutional knowledge while building an AI foundation that is portable across frontier and open-source models and cloud infrastructures. Quantiphi's inclusion as a Representative Vendor reflects its continued focus on helping healthcare enterprises own their intelligence and create lasting AI capability that drives measurable clinical and business impact. Gartner, Market Overview of AI Agents for Healthcare Providers, By Saru Mehta, 14 September 2026. Gartner is a trademark of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. About Quantiphi. Quantiphi is an AI-native services partner that empowers enterprises to own their intelligence and compound their competitive edge. Quantiphi builds sovereign AI foundations within an enterprise's secure environment, giving them absolute control over their data, context, IP and an AI foundation that is portable across a variety of cloud infrastructures. By getting their data AI-ready and shifting from fragmented experimentation to lean, sovereign engineering, Quantiphi enables true organizational self-sufficiency by transforming AI from a consumption expense into a high-ROI asset. Quantiphi measures success by tangible business outcomes, delivering the lasting AI capability that compounds their competitive edge. Learn more at Quantiphi.com and follow Quantiphi on Linkedin, X, formerly Twitter and Instagram. Media Contact: Viraj Deshpande Contact Us Ready to solve what matters? Whether you're looking to build the next-gen customer experience, harness the power of Agentic AI, or modernize your data stack - Quantiphi is here to help you lead with purpose and transform with confidence. Talk to its experts to: * Discover modernization opportunities for your business * Chart your path to AI-powered success * Begin your transformation journey today

Business Wire
Oct 19th, 2026
Analytics, AI transform insurance business operations.

Analytics, AI transform insurance business operations. Enterprises establish data-centered processes to improve decision quality, service performance and workforce productivity, ISG Provider Lens(R) report says STAMFORD, Conn.-(BUSINESS WIRE)-Insurance companies are embedding analytics, GenAI and agentic AI across core operations to support growth, risk management and improved customer experience, according to a new research report published today by Information Services Group (ISG) (Nasdaq: III), a global AI-centered technology research and advisory firm. Insurance is not short of data; it needs intelligence that delivers the right context when decisions matter most. The market is moving toward systems that make expertise more effective without removing human accountability. Share The 2026 ISG Provider Lens(R) global Specialty Analytics and AI Services - Insurance report finds that growing volumes of data and increasingly complex risks are driving insurers to reshape their operating models. Climate-related exposures, cyberthreats, geopolitical uncertainty and changing customer behavior require them to evaluate a wider range of information sources. As they bring AI into production, enterprises need more AI transparency, explainability and accountability to meet regulatory requirements. "Insurance is not short of data; it needs intelligence that delivers the right context when decisions matter most," said Guido Tamburini, partner and head of Banking, Financial Services and Insurance at ISG. "The market is moving toward systems that make expertise more effective without removing human accountability." Underwriting continues to receive the largest share of analytics and AI investment. Companies are adopting intelligent document processing, underwriting copilots and predictive risk models. These capabilities accelerate information gathering, reduce repetitive administration and support more consistent evaluation of risks for both personal and commercial lines. AI augments rather than replaces the expertise of underwriters, allowing them to spend more time assessing complex sets of risks. Claims performance and customer experience remain important differentiators as insurers seek to improve operations. Companies are investing in claims triage, summarization, fraud detection and conversational intelligence for customer interactions. These capabilities support faster claims handling, greater consistency and more timely responses when customers need assistance. Segmentation and next-best-action recommendations help companies uncover cross-selling opportunities, improve retention and increase customer lifetime value. To prepare for broader AI deployment, insurers are modernizing cloud-based data foundations and enterprise knowledge-management frameworks. They are also connecting policy and claims records with telematics, geospatial information, images, documents and third-party risk datasets. AI-ready architectures improve data quality, accessibility and contextualization for decisions in multiple business functions. Companies are strengthening AI governance with responsible AI practices, AI model monitoring and staff training, ISG says. "Insurance enterprises need partners that can turn AI transformation into a continuous capability, not a series of deployments," said Manav Deep Sachdeva, ISG principal analyst and lead author of the report. "Specialist providers help insurers build operating models that result into scalable AI deployment using reusable assets, reducing the effort and cost of future adoption while accelerating continuous transformation." The report also explores other trends in insurance analytics and AI, including rising demand for reusable AI components and growing use of generative AI in actuarial research and reporting. For more insights into the analytics and AI challenges faced by insurance enterprises, along with ISG's advice for addressing them, see the ISG Provider Lens Focal Points briefing here. The report evaluates the capabilities of 16 providers in one quadrant: Specialty Analytics and AI Services. The report names Fractal Analytics, Quantiphi, ReSource Pro, Tiger Analytics and WNS, part of Capgemini, as Leaders in the quandrant. The 2026 ISG Provider Lens global Specialty Analytics and AI Services - Insurance report is available to subscribers or for one-time purchase on this webpage. ISG (Nasdaq: III) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world's top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data and research, in-depth knowledge and governance of provider ecosystems, and the expertise of its 1,500 professionals worldwide working together to help clients maximize the value of their technology investments. Press contacts: Erik Arvidson, Matter Communications for ISG +1 978-518-4542 [email protected]

PR Newswire
Oct 14th, 2026
Quantiphi and LangChain partner to scale production-ready Agentic AI for enterprises.

Quantiphi and LangChain partner to scale production-ready Agentic AI for enterprises. Oct 14, 2026, 09:02 ET MARLBOROUGH, Mass., Oct. 14, 2026 /PRNewswire/ - Quantiphi, an AI-native services company, and LangChain, the company behind the industry-standard LangSmith platform, today announced a strategic partnership to help enterprises adopt agent engineering at scale, from first use case to enterprise-wide rollout, and achieve measurable value. The partnership brings together LangChain's enterprise agent engineering platform, which includes LangSmith, LangGraph and Deep Agents, with Quantiphi's forward-deployed engineering (FDE) capabilities, enterprise AI transformation expertise and deep industry experience across financial services, insurance, healthcare and life sciences, telecom and others. Together, Quantiphi and LangChain will enable enterprises to build agentic systems within their secure environments while helping them retain control over their data, context and intellectual property. The joint approach is designed to preserve flexibility across frontier and open-weight models and cloud infrastructures, helping customers move from fragmented experimentation toward greater AI self-sufficiency without sacrificing portability or control. "Being successful with Agentic AI in the enterprise requires domain knowledge, active SME collaboration and curating data flywheels," Quantiphi Head of Frontier AI GTM Siddharth Kotwal said. "By unifying Quantiphi's engineering expertise with LangSmith platform by LangChain, we seamlessly embed agents into core business workflows, translating innovation into measurable enterprise value." The partnership will focus on three key priorities: * Governance and Observability: Establishing observability, evaluation and governance tools for agentic transformation in the enterprise. * Embedded Engineering: Forward-deployed engineering support to scale enterprise workflows and systems with LangChain's platform. * Continual Learning: Creating feedback loops that convert production traces, expert feedback and evaluation outcomes into continuously improving agent performance. "LangSmith gives teams visibility into how their agents actually behave in production," LangChain Vice President of Sales Darren Moffett said. "Quantiphi brings the implementation expertise to design, build and deploy those agents inside the enterprise. Together, we can take a customer from a working prototype to a production agent without them having to bridge the two on their own." The partnership is designed to help enterprises accelerate the path from pilot to production, standardize agent engineering across the organization and build lasting AI capability that becomes more valuable with every deployment. About Quantiphi Quantiphi is an AI-native services partner that empowers enterprises to own their intelligence and compound their competitive edge. Quantiphi builds sovereign AI foundations within an enterprise's secure environment, giving them absolute control over their data, context, IP and an AI foundation that is portable across a variety of cloud infrastructures. By getting their data AI-ready and shifting from fragmented experimentation to lean, sovereign engineering, Quantiphi enables true organizational self-sufficiency by transforming AI from a consumption expense into a high-ROI asset. Quantiphi measures success by tangible business outcomes, delivering the lasting AI capability that compounds their competitive edge. Learn more at Quantiphi.com and follow us on Linkedin, X, formerly Twitter and Instagram. About LangChain LangChain enables every company to own their intelligence. LangChain's open, model-agnostic harnesses give teams choice and control over how they build their agent architecture. LangSmith brings testing, deployment and monitoring together so teams can continuously improve their agents, compound intelligence and govern them at scale. Media Contact: V. Deshpande SOURCE Quantiphi

Quantiphi
Sep 22nd, 2026
Quantiphi named a Leader in NelsonHall's 2026 NEAT Evaluation for Wealth and Asset Management Services.

Quantiphi named a Leader in NelsonHall's 2026 NEAT Evaluation for Wealth and Asset Management Services. MARLBOROUGH, MASS. - Quantiphi, an AI-native services company, today announced it has been recognized as a Leader in the NelsonHall 2026 NEAT Evaluation Report for Wealth and Asset Management Services under the AI and Analytics Services category. The recognition highlights Quantiphi's expertise in supporting wealth and asset management institutions across AI advisory, data and application modernization, business process reimagination and agent-led enterprise transformation. Through a structured approach, Quantiphi helps enterprises build sovereign AI foundations they own and control, driving adoption that generates tangible value and creates lasting AI capability. Quantiphi was positioned ahead of multiple established global technology and services providers in the AI and Analytics Services category, reinforcing its standing within this fast-evolving market. "This recognition is a proud moment for our teams because it reflects the kind of work that happens behind the scenes - leveraging our technology edge and applied AI research capabilities to help customers own their enterprise intelligence and compound their competitive edge," Quantiphi Global Head of Banking, Financial Services and Insurance Srikant Venkatesh said. "Being recognized by NelsonHall across multiple wealth and asset management categories is a strong validation of the progress we are making in this space." Quantiphi has also been named an Innovator in NelsonHall's Professional Services category and the overall Wealth and Asset Management Services report, underscoring the company's growing strength across the broader wealth and asset management services landscape. Quantiphi combines deep financial services expertise with advanced AI, analytics, cloud engineering and proprietary accelerators to help institutions address critical priorities across client personalization, operational efficiency, regulatory responsiveness, data modernization, enterprise process reinvention and responsible AI adoption. This recognition reinforces Quantiphi's position as a strategic transformation partner for financial services organizations seeking to turn AI investments into lasting enterprise capability in the era of AI-powered wealth and asset management services. About Quantiphi. Quantiphi is an AI-native services partner that empowers enterprises to own their intelligence and compound their competitive edge. Quantiphi builds sovereign AI foundations within an enterprise's secure environment, giving them absolute control over their data, context, IP and an AI foundation that is portable across a variety of cloud infrastructures. By getting their data AI-ready and shifting from fragmented experimentation to lean, sovereign engineering, Quantiphi enables true organizational self-sufficiency by transforming AI from a consumption expense into a high-ROI asset. Quantiphi measures success by tangible business outcomes, delivering the lasting AI capability that compounds their competitive edge. Learn more at Quantiphi.com and follow Quantiphi on Linkedin, X, formerly Twitter and Instagram. Media Contact: Viraj Deshpande Ready to solve what matters? Whether you're looking to build the next-gen customer experience, harness the power of Agentic AI, or modernize your data stack - Quantiphi is here to help you lead with purpose and transform with confidence. Talk to its experts to: * Discover modernization opportunities for your business * Chart your path to AI-powered success * Begin your transformation journey today

PR Newswire
May 20th, 2026
Quantiphi names Jim Reesing as CEO to scale enterprise AI transformation business

Quantiphi has appointed Jim Reesing as chief executive officer to lead its next phase of global growth. The AI-first digital engineering company, founded in 2013, is positioning itself to capitalise on increased enterprise demand for large-scale AI transformation. Reesing brings over 30 years of experience leading global enterprise transformation organisations. He most recently served as senior managing director at Accenture, leading AI-enabled enterprise reinventions. He has previously held leadership roles at IBM, Capgemini, Kanbay, Xchanging and Freeborders. The appointment is part of a long-term growth strategy, with Quantiphi's founders remaining deeply involved in innovation, customer engagement and strategy. Co-founder Asif Hasan noted that enterprises are moving beyond experimentation towards AI transformation tied to business outcomes.