What are the responsibilities and job description for the Principal AI Architect position at Coforge?
Job Title : Principal AI Architect
Skills: hands - Generative AI, Strategy, Solution, Design
Experience: 15 Years
Location: Fort Mill, SC
Job Type: Full -Time
We at Coforge are looking for an Principal Hands - on AI Architect with the following skills.
Overview:
About the Role
Coforge is seeking a visionary Principal AI Architect to lead our Generative AI and advanced machine learning initiatives. In this strategic role, you will be Designing and engineering the end-to-end architecture and hands-on build of the AI Hub on AWS. Acts as the technical authority across platform, AI, and cloud engineering.
Key Responsibilities:
Architecture & Engineering
- Define and implement AI Hub architecture on AWS
- Design modular platform layers:
- AI Gateway / Model Access Layer
- Agent Orchestration Runtime
- RAG & Knowledge Infrastructure
- Governance, Security & Observability
- Make build vs. buy decisions (AWS vs open source)
- Leverage AWS services such as:
- Amazon Bedrock, SageMaker, Lambda, ECS/EKS, Step Functions
- OpenSearch / Aurora / DynamoDB (vector & operational stores)
- S3, Glue, Lake Formation for data foundation
- Establish multi-account, multi-tenant architecture with secure isolation
- Guide to engineering: Scalability, security, and reliability
- Act as bridge between architecture, engineering, and business stakeholders
Skills (Technical - Hands-on)
AI / GenAI
- LLMs, RAG, embeddings, prompt engineering, and AI agents
- Agent frameworks (LangChain, LangGraph, Semantic Kernel)
- LLMOps / MLOps lifecycle (CI/CD, evaluation, monitoring)
AWS (Deep Expertise)
- Bedrock, SageMaker, Lambda, Step Functions
- EKS/ECS, Step Functions, EventBridge
- API Gateway
- S3, Glue, Lake Formation
- OpenSearch / Aurora / DynamoDB
- DynamoDB, Aurora, OpenSearch (vector search)
Experience with: Infrastructure as Code (Terraform / CloudFormation)
Required Qualifications:
Platform Engineering
- Distributed systems & microservices
- Kubernetes (EKS) / containerization
- API design and SDK development
Governance & Security
- IAM, RBAC, encryption, data security & protection
- AI guardrails and compliance frameworks
Skills (Leadership)
Technical Leadership
- Prior experience building AI platforms in BFSI or regulated industries
- Exposure to agent frameworks and multi-agent systems
- Contributions to open-source AI or platform tooling
Behavioral & Communication
- Strong ownership mindset – operates like a platform builder, not a project executor
- Ability to translate complex AI systems into business value
- Proven experience building and scaling high-performing engineering teams
- Excellent stakeholder communication and executive presence.