AI Engineering Lead

Coforge; Buffalo (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

Coforge in United States, New York, Buffalo is seeking an AI Engineering Lead with deep experience in enterprise AI tooling, Microsoft 365 CoPilot Chat and CoPilot Studio, and agentic AI frameworks. You will guide architecture, governance, and delivery of multi‑tier applications across teams.

The role requires 10+ years of software engineering, leadership experience, and hands‑on work with CI/CD (GitLab), Jira, and test tools.

Qualifications

• 10+ years of software engineering experience, including production ownership of complex, multi‑tier applications.
• 3+ years in a Lead Engineer or equivalent senior technical leadership role.
• Proven hands‑on experience with Microsoft 365 CoPilot Chat and CoPilot Studio, including agent design, deployment, and governance.
• Demonstrated experience with the Duo Agentic Platform or comparable agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph, or Microsoft Semantic Kernel).
• Ability to read, analyze, and reverse‑engineer source code in at least one of: COBOL/JCL/CICS, Java, or equivalent enterprise language.
• Hands‑on experience producing formal software artifacts: BRDs, sequence diagrams, architecture documentation, and requirements‑to‑test traceability matrices.
• Working knowledge of GitLab CI/CD pipeline configuration, Jira project management, and Zephyr or equivalent test management tooling.
• Strong understanding of software testing disciplines: unit, integration, regression, and test automation frameworks.

Skills

AI tooling expertise

Microsoft 365 CoPilot Chat

CoPilot Studio

Duo Agentic Platform

AutoGen

CrewAI

LangGraph

Microsoft Semantic Kernel

Reverse‑engineering legacy code

BRDs and architecture docs

CI/CD (GitLab)

Jira

Zephyr

Software testing disciplines

Guardrails and responsible AI

Tools

Docker

Kubernetes

GitLab CI/CD

Jira

Zephyr

Job description

Skills: AI tooling expertise must be AI savvy, Microsoft 365 CoPilot Chat and CoPilot Studio, Duo Agentic Platform or comparable agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph, or Microsoft Semantic Kernel)

Experience: 10+ Years

We at Coforge are hiring AI Engineering Lead with the following skillset:

• 10+ years of software engineering experience, including production ownership of complex, multi-tier applications.
• 3+ years in a Lead Engineer or equivalent senior technical leadership role (individual contributor track).
• Proven hands‑on experience with Microsoft 365 CoPilot Chat and CoPilot Studio, including agent design, deployment, and governance.
• Demonstrated experience with the Duo Agentic Platform or comparable agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph, or Microsoft Semantic Kernel).
• Ability to read, analyze, and reverse-engineer source code in at least one of: COBOL/JCL/CICS, Java, or equivalent enterprise language.
• Hands‑on experience producing formal software artifacts: BRDs, sequence diagrams, architecture documentation, and requirements‑to‑test traceability matrices.
• Working knowledge of GitLab CI/CD pipeline configuration, Jira project management, and Zephyr or equivalent test management tooling.
• Strong understanding of software testing disciplines: unit, integration, regression, and test automation frameworks.

Skills & Mindset

• Systems thinker who can map complex legacy architectures and translate them into structured, AI‑consumable documentation.
• Comfort operating in ambiguity - you define the approach; you don't wait for one.
• Strong written and verbal communication skills; able to present technical roadmaps and AI strategies to non-technical stakeholders.
• Disciplined about guardrails, auditability, and responsible AI - especially in a regulated banking environment.

PREFERRED QUALIFICATIONS

• Experience in a banking, financial services, or loan servicing technology environment.
• Familiarity with mainframe modernization patterns and the challenges of wrapping or extending COBOL/CICS assets in hybrid architectures.
• Experience with containerized deployments: Docker and Kubernetes in a CI/CD context.
• Background in prompt engineering, RAG (Retrieval‑Augmented Generation), or enterprise LLM integration patterns.
• Microsoft certifications: AI‑102 (Azure AI Engineer), MS‑900/M365, or Power Platform/CoPilot Studio certifications.
• Exposure to regulatory compliance frameworks relevant to banking (e.g., SOX, FFIEC, OCC guidance on model risk and AI governance)