AI Delivery Lead

Job Description

We’re looking for an AI Delivery Lead to help organizations operationalize AI, automation, and agent-based workflows at scale. In this role, you will lead complex AI-enabled transformation initiatives across business and technology teams, helping clients move from experimentation to measurable business impact. You will bring hands-on experience designing, building, and implementing AI agents in collaboration with business stakeholders to solve real enterprise challenges. 

You will operate at the intersection of program delivery, AI transformation, and enterprise operations, driving execution across multiple initiatives while helping organizations adopt scalable AI-enabled ways of working. You will play a critical role in identifying AI transformation opportunities, translating business challenges into technical solutions, and overseeing their successful implementation and adoption. 

This role is ideal for someone who combines strong program leadership with demonstrated technical expertise in AI agent development, business process transformation, and a practical, execution-oriented mindset. You should be comfortable navigating ambiguity, managing competing priorities, and partnering with both business and technical stakeholders to deliver meaningful outcomes. 

You’ll work closely with product owners, engineering teams, business leaders, and cross-functional stakeholders to structure delivery, manage risk, implement AI-powered solutions, and drive enterprise adoption. The ideal candidate has personally built AI agents to address stakeholder-defined business needs, beyond personal productivity tools or automations developed exclusively for their own workflows. 

What You’ll Do

Lead AI Transformation Delivery 

• Drive end-to-end delivery across multiple AI, automation, and technology transformation initiatives, ensuring consistent intake, prioritization, execution, and measurement aligned to organizational goals. 

• Partner with product owners, program managers, and engineering teams to translate business needs into scalable AI-enabled solutions and operational workflows. 

• Lead stakeholder discovery sessions, business process assessments, and requirements gathering to identify opportunities for AI-driven transformation and agent-based solutions. 

• Assess current-state business processes and help design future-state workflows that leverage AI agents, automation, and human-AI collaboration. 

• Translate business transformation objectives into actionable AI implementation roadmaps, technical requirements, and delivery plans. 

• Support delivery across cross-functional teams while balancing speed, quality, stakeholder expectations, and business priorities. 

• Navigate ambiguity and solve complex delivery challenges in fast-paced client environments. 

• Manage competing priorities and simultaneous initiatives while maintaining strong execution discipline. 

Design, Build & Operationalize AI-Enabled Solutions 

• Personally contribute to the design, development, prototyping, and implementation of AI agents and agentic workflows that address business challenges identified in collaboration with stakeholders. 

• Partner directly with business stakeholders to gather requirements, define agent capabilities, and translate operational needs into functional AI solutions. 

• Apply hands-on experience building AI agents that execute multi-step tasks, interact with enterprise systems, retrieve information, and support complex business workflows. 

• Design and implement agentic workflows involving LLMs, API integrations, tool calling, orchestration, decision logic, and human-in-the-loop processes. 

• Leverage AI development platforms, frameworks, and tools such as OpenAI, Azure AI, Microsoft Copilot Studio, Claude, LangChain, LangGraph, or comparable technologies. 

• Provide technical guidance on AI agent architecture, integrations, testing, performance, and implementation approaches while remaining capable of contributing directly to solution development. 

• Help structure workflows, delivery models, governance processes, and operational approaches that enable scalable enterprise AI adoption. 

• Collaborate closely with technical and business teams to move solutions from pilot to scaled deployment. 

• Evaluate emerging AI tools, platforms, and capabilities to identify practical enterprise applications and opportunities for process improvement. 

• Seek opportunities to improve efficiency through automation, streamlined operations, and scalable delivery practices. 

Drive Program Governance & Execution 

• Define program goals, success metrics, and reporting mechanisms tied to adoption, efficiency, quality, operational performance, and business impact. 

• Partner with stakeholders to align intake processes, prioritization frameworks, SLA tracking, risk management, and post-launch measurement to organizational standards. 

• Establish delivery frameworks and governance processes specifically supporting AI agent development, testing, deployment, monitoring, and continuous improvement. 

• Work with technical teams to evaluate agent performance, reliability, scalability, integration requirements, and potential implementation risks. 

• Ensure AI solutions align with stakeholder requirements, business objectives, and measurable operational outcomes. 

• Identify and proactively manage delivery risks, dependencies, and escalation paths to ensure projects remain on track. 

• Provide ongoing communication and program visibility to leadership and stakeholders while reducing surprises through proactive risk management. 

• Operate effectively across highly matrixed organizations and work with stakeholders ranging from front-line analysts to executive leadership. 

Enable Adoption & Stakeholder Alignment 

• Build strong relationships with internal customers and stakeholders to establish alignment on objectives, timelines, and expected outcomes. 

• Partner with business leaders to drive organizational transformation through process redesign, AI-enabled operating models, and the integration of agentic solutions into existing workflows. 

• Demonstrate AI agent capabilities to business stakeholders, gather feedback, and refine solutions based on user needs and operational requirements. 

• Help organizations adopt AI-enabled ways of working through stakeholder engagement, communication, training, and operational support. 

• Measure the business impact of implemented AI solutions, including efficiency gains, process improvements, user adoption, and operational performance. 

• Support the development of repeatable playbooks, documentation, and best practices to enable scalable delivery and enterprise AI adoption. 

• Mentor junior consultants and support delivery excellence across project teams. 

Qualifications

Required 

• 7+ years of experience in program management, project management, product delivery or technology transformation roles within consulting, technology, fintech, or enterprise environments. 

• 3–5 years of experience in a Technical Program Management, AI delivery, or equivalent technical delivery capacity. 

• Demonstrated hands-on experience personally designing, building, and implementing AI agents or agentic AI workflows, beyond simply managing or overseeing their development. 

• Experience developing AI agents in direct collaboration with business stakeholders, including gathering requirements, defining use cases, designing solutions, and supporting implementation. 

• Experience building AI agents to solve organizational or enterprise business challenges, rather than exclusively developing personal productivity tools or automations for individual workflows. 

• Demonstrated experience supporting AI-driven business transformation, including business process assessments, workflow redesign, operating model improvements, and implementation of AI-enabled solutions. 

• Strong understanding of generative AI concepts, including LLMs, AI agents, copilots, workflow automation platforms, and enterprise AI adoption challenges. 

• Practical experience with AI development platforms, APIs, agent-building frameworks, or workflow orchestration technologies used to create functional AI solutions. 

• Ability to explain the technical architecture, integrations, orchestration, development decisions, and business impact of AI agents personally built or implemented. 

• Experience leading multiple large, cross-functional initiatives simultaneously while establishing scalable processes and driving measurable outcomes. 

• Experience working in Agile delivery environments and collaborating closely with product and engineering teams. 

• Ability to translate ambiguous business challenges into structured delivery plans, workflows, and implementation approaches. 

• Strong communication and stakeholder management skills with experience working across business and technical teams, including executive-level stakeholders. 

• Demonstrated ability to manage program budgets, operational reporting, and delivery governance across large-scale initiatives. 

• Strong problem-solving capabilities with the ability to operate effectively in fast-moving and evolving environments. 

• Demonstrated technical and/or data-related acumen within program or project delivery environments. 

• Experience translating business requirements into AI solution designs and driving implementations from initial discovery through deployment and adoption. 

• Bachelor’s degree required; Master’s degree preferred. 

• Based in San Francisco, New York, or Seattle and eligible to work in the United States. 

Preferred  

• Hands-on experience developing AI agents using platforms and frameworks such as OpenAI APIs, Azure AI Foundry, Microsoft Copilot Studio, Anthropic Claude, LangChain, LangGraph, AutoGen, or comparable technologies. 

• Experience developing AI agents that integrate with enterprise applications, APIs, databases, knowledge repositories, or business systems. 

• Experience with multi-agent systems, retrieval-augmented generation (RAG), AI workflow orchestration, or autonomous agent architectures. 

• Familiarity with Python, API integrations, prompt engineering, agent evaluation, and AI solution testing. 

• Experience supporting enterprise AI transformation, automation, or digital enablement initiatives in consulting or enterprise environments. 

• Experience taking AI solutions from proof of concept through production deployment, stakeholder adoption, and ongoing optimization. 

• Experience working with enterprise systems, operational workflows, data platforms, or reporting tools. 

• Exposure to Agile methodologies, transformation programs, or enterprise change initiatives. 

• PMP, Scaled Agile, Scrum Master, Lean Six Sigma, or equivalent certifications preferred. 

• Experience with tools such as ServiceNow (Carts+), Smartsheet, MS Project, Azure DevOps, Tableau, or similar delivery and reporting platforms is a plus. 

Why Join Us 

• Work on high-impact AI transformation initiatives across industries. 

• Help organizations operationalize generative AI and automation at scale. 

• Collaborate with product, engineering, strategy, and business leaders. 

• Drive enterprise adoption of AI-enabled workflows and operating models. 

• Design, build, and implement AI agents that solve real business challenges and transform enterprise operations. 

• Lead AI transformation initiatives from business problem identification through technical implementation and measurable impact 

• Join a fast-growing team focused on the future of enterprise AI transformation. 

• Build highly valuable experience at the intersection of AI strategy, program delivery, and business transformation. 

Additional Information

Compensation & Benefits  

Sia invests in total rewards that support how our people work, live, and grow.  

Compensation  

• Annual Base Salary Ranges, commensurate with experience and qualifications, geographic location, and other job-related factors permitted by applicable law. 
  • Associate Manager Level: $142,800 - $147,900
  • Manager Level: $150,000 - $170,000
• Annual Performance Bonus    

Benefits  

• Medical, dental, and vision; company-paid life and AD&D; voluntary supplemental insurance and EAP  
• 401(k) with company match and immediate vesting; HSA and FSA options  
• College savings and student loan repayment programs  
• Paid parental leave; generous PTO, nine company holidays, and one floating holiday  
• Cell phone stipend; well-being and professional development programs  

Benefits are subject to applicable plan terms and eligibility requirements.  

Work Authorization 

Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future. 

Our Commitment

At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging.  

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.