AI Architect - Digital Products & AI

Job Description

This practice is built for the way enterprise software actually gets made now: small senior pods, AI agents doing much of the build, and outcomes in weeks where traditional delivery approaches took months. We build digital products, AI agents, intelligent workflows and modernized platforms that help organizations operate differently across healthcare and life sciences, manufacturing, energy and utilities, transportation and consumer industries. None of it is pilots or demos. The solutions we build run in production and solve problems that matter to our clients' businesses.

As an AI Architect, you'll work directly with clients to shape, design, and lead the delivery of those solutions. Working alongside Product Strategists and AI Engineers, you'll own the delivery architecture for complex engagements, translating business problems into executable solutions and ensuring what gets built remains aligned to what was designed. You'll help shape opportunities before delivery begins and stay close to them throughout implementation. On some engagements, we continue to run what we've built, giving you the opportunity to stay close to the product and see the impact of your work long after go-live.

This is a hands-on architecture and engineering role. Most of the code here is written by agents. That does not make this a supervision job. It moves the engineering upstream, where strong engineering judgment becomes even more important. You'll define the architecture, controls, and acceptance criteria that determine whether a solution succeeds in production, while helping teams navigate ambiguity and move delivery forward. You'll be expected to make technical decisions that stand up not only in delivery, but also in front of client technology leaders who will ultimately be accountable for the outcome. Requirements do not always arrive fully formed, and part of the role is helping define the problem while continuing to move delivery forward.

As part of the Digital Products & AI team, you can expect to:

• Own the delivery architecture for digital products, AI agents, intelligent workflows, and modernization initiatives, ensuring solutions remain aligned from discovery through deployment.

• Architect the elements that determine whether AI solutions succeed in production, including tool selection, memory and context management, guardrail design, and human-in-the-loop controls.

• Define, build, and guide the implementation of the technical components that power agentic systems, including retrieval pipelines, MCP services and integrations, and the systems that connect AI capabilities to enterprise data and processes at scale.

• Modernize platforms and applications around current business needs, rebuilding where necessary rather than simply moving legacy functionality onto newer technology.

• Design security and operational resilience into solutions from the start, including access controls, identity management, deployment guardrails, and oversight of automated actions.

• Break down complex problems into deliverable components, defining scope, sequencing, implementation approaches, and delivery plans while determining feasibility and technical risk.

• Create reusable patterns, approaches, and tooling that strengthen future engagements, with the strongest ideas becoming capabilities and products we take to market.

Qualifications

You have a track record of designing, building, and delivering complex technology solutions in production environments. While our delivery model may be new to you, we'll bring you up to speed on how we plan, execute, and assure our work.

To be successful, you'll have:

• Architecture and engineering foundations
  • Experience leading architecture and technical delivery for complex software, cloud, or digital transformation initiatives while still building and operating production software.
  • Strong software engineering skills, ideally including Python and TypeScript.
  • Experience designing and delivering cloud-native systems on AWS, Azure, or GCP.
• AI engineering
  • Hands-on experience building AI applications and agent-based systems in production. Experience with orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies, and the judgment to know when an orchestration layer earns its complexity.
  • Experience building retrieval-enabled systems and working with technologies such as pgvector, Elasticsearch, or OpenSearch, with an understanding of the trade-offs between retrieval quality, latency, and cost.
• Architecture and delivery leadership
  • Experience integrating applications with enterprise systems, data platforms, APIs, identity providers, and MCP-enabled services.
  • Experience owning solution architecture for complex technology initiatives, including decomposition, sequencing, and technical decision-making across delivery teams.
  • Strong technical judgment, communication skills, and the ability to navigate ambiguity while working directly with clients and multidisciplinary teams, balancing delivery speed with quality, security, and long-term maintainability.
  • Experience working directly with senior technology stakeholders and credibility discussing solution approaches with engineering leaders and client CTOs.

Ideally, you'll also bring:

• Experience delivering solutions within consulting, professional services, or time as a technical founder.
• Experience in healthcare and life sciences, manufacturing, energy and utilities, transportation, or consumer industries.
• Experience building reusable platforms, tooling, or AI solutions in regulated environments.

Additional Information

Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site

Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.

Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self.

Find out more about Life at PA here.

We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits:

• Group medical insurance 
• Health Savings Account with company match 
• Teladoc and informed Nurse line resources 
• Long term care plan 
• Group dental insurance 
• Vision plan 
• 401(k) Savings Plan with company profit sharing contribution 
• Commuter and Parking tax-savings benefit 
• 15 days paid vacation days with the opportunity to buy five additional days 
• 10 paid Holidays plus 10 paid sick days 
• Company and Voluntary income protection benefits 
• Gym and health incentive reimbursement 
• Pet and legal insurance Plans 
• Employee Assistance Plan 
• Annual performance-based bonus 

We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups.

Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on [email protected]

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