AI Architect _ Autonomous Agents (GitHub Copilot)

Must Have Technical/Functional Skills

• Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance.

• Hands-on experience designing/building agent-based approaches and autonomous workflows.

• Strong expertise in Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design.

• Strong Python development experience and ability to guide teams with reference implementations.

• Experience with RAG, vector databases, and cloud deployments.

• Practical experience with GitHub Copilot adoption patterns including guardrails, prompt library management, extensions, and metrics

• Salesforce ecosystem experience with ability to guide agentic development for Salesforce (architecture + delivery enablement). (Role requirement; no internal doc explicitly lists this combined requirement.)

• Preferred / Nice to Have

• Experience designing enterprise adoption frameworks for Copilot/AI with change management and champion models.

• Experience building Copilot-led accelerators for engineering productivity and rapid prototyping.

• Knowledge of AI governance requirements and productionization practices.

Roles & Responsibilities

1) Architecture & Strategy (AI / Agentic AI)

• Define the overall solution architecture for enterprise agentic AI programs and create the target-state roadmap
• Establish AI architecture standards, reference patterns, and governance guidelines for adoption at scale.
• Design architecture across LLMs/frameworks, vector databases, and cloud deployments, including Responsible AI practices.

2) Autonomous Agent Design & Orchestration (Copilot-led)

• Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
• Define a framework for prompt libraries, guardrails, extensions/integrations, and productivity metric tracking for Copilot adopt
• Drive repeatable implementation approach and best practices for Copilot-based engineering interventions and productivity tracking

3) Agentic Development for Salesforce (End-to-End)

• Lead the architecture for Agentic Development in Salesforce, covering development and quality engineering workflows.
• Enable Copilot-driven acceleration from design artifacts (e.g., Figma requirement sheets) to boilerplate code and supporting assets, where applicable.
• Establish patterns for agent-assisted testing and a roadmap toward autonomous testing where feasible (e.g., test case generation, script automation, regression maintenance).

4) Prompt Engineering Excellence

• Own enterprise prompt strategy including Zero-shot / Few-shot / Chain-of-Thought prompting techniques and prompt governance.
• Create reusable prompt frameworks/cookbooks, templates, and standards for consistent outcomes across teams.

5) RAG + Model/Tool Orchestration (Python-led)

• Architect and govern RAG pipelines, knowledge grounding approaches, and multi-turn agent orchestration using frameworks such as LangChain (or equivalent).
• Provide hands-on guidance for implementation in Python, including reference implementations and integration patterns.

TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $130,000-$140,000 a year Location Mclean, VA Job Function TECHNOLOGY Role Enterprise Architect Job Id 412437 Desired Skills Artificial Intelligence Salary Range $130,000-$140,000 a year Desired Candidate Profile

Qualifications : BACHELOR OF COMPUTER SCIENCE