AI Hub Program Manager

Coforge; Oaks (PA); On-site; USD 180,000 - 240,000; Full time

Job summary

Coforge seeks a senior AI Hub Program Manager to lead the creation and industrialization of the AI Hub platform within an enterprise asset & wealth management context. You will architect transformative narratives for the board, govern a multi-cloud delivery, and drive adoption across business units, coordinating between solution architects and stakeholders.

Senior leader the role requires managing complex programs from discovery through production, with strong governance and collaboration across

Qualifications

• End-to-end platform or data/AI program management in enterprise environments.
• Ability to govern complex multi-cloud delivery programs and translate boardroom strategy into delivery.
• Experience aligning technology risk, procurement, and security with executive sponsorship.

Responsibilities

• Define, Design & Build the AI Hub.
• Drive AI Use Case Design & Build.
• Govern program governance with RAID logs, milestones, and reporting.

Skills

AWS SageMaker

Vertex AI

LLM landscape

Multi-cloud portability

Architectural literacy

Agile governance

Tools

LangChain

Semantic Kernel

API gateways

Observability tooling

Job description

We at Coforge are Looking for an AI Hub Program Manager with the following skills:

About the Role

The AI Hub Program Manager is Coforge's most senior delivery leader embedded at the client - an Asset & Wealth Management enterprise responsible for four interconnected mandates: defining and building the AI Hub platform, industrializing it as a Platform-as-a-Service, driving AI use case delivery on top of it, and evangelizing adoption across all lines of business. This is not a traditional program manager role. It demands someone who can architect a transformation narrative in the boardroom, govern a complex multi-cloud build in the delivery room, and inspire a business unit head to become an AI Hub champion all in the same week.

Responsibilities

• Define, Design & Build the AI Hub
• Drive AI Use Case Design & Build

Qualifications

Proven track record managing large-scale platform or data/AI programs in enterprise environments - end-to-end, from discovery to production.

Required Skills

• Working knowledge of AWS AI/ML services (SageMaker, Bedrock) and GCP AI services (Vertex AI)
• Understanding of AI Hub platform components - model registries, vector databases, RAG pipelines, orchestration layers (LangChain, Semantic Kernel), agent frameworks, API gateways, observability tooling
• Awareness of LLM landscape - Azure OpenAI (GPT-4o), open-source models (Mistral, LLaMA)
• Ability to evaluate multi-cloud portability and interoperability considerations as the client expands beyond Azure
• Enough architectural literacy to challenge design decisions, identify risks, and mediate between solution architects and business stakeholders

Preferred Skills

• Experience managing multi-vendor, multi-team delivery ecosystems - internal client teams, Coforge squads, cloud partners, ISVs
• Proficiency in agile at scale - SAFe, LeSS, or hybrid agile-waterfall models suited to regulated enterprise delivery
• Strong command of program governance - steering committees, RAID logs, dependency mapping, milestone tracking, executive reporting
• Ability to manage release and change management in Microsoft-native environments (Azure DevOps, GitHub Actions)
• Experience navigating procurement, compliance gates, and security review cycles inherent to enterprise financial services programs