Senior Forward Deployed Engineer

Must Have Technical/Functional Skills

• 12+ years of software/data engineering experience with strong hands-on delivery of AI, GenAI, LLM, RAG and agentic AI solutions in enterprise environments.
• Proven experience leading prototype-to-production delivery of Claude based AI solutions, preferably using Anthropic Claude on Amazon Bedrock.
• Strong Python engineering skills with production API development experience using FastAPI, Flask or similar frameworks.
• Hands-on experience with agentic orchestration patterns and frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen or similar.
• Deep experience with RAG pipelines, embeddings, vector databases, semantic search, document ingestion, re-ranking, grounding and LLM evaluation.
• Strong AWS implementation experience across Bedrock, Lambda, API Gateway, Step Functions, ECS/EKS, S3, IAM, KMS, CloudWatch, CloudTrail and CI/CD.
• Experience integrating AI solutions with enterprise APIs, data platforms, workflow platforms, knowledge repositories and in-house capabilities.
• Strong understanding of tool/function calling, MCP servers, guardrails, validation, human-in-the-loop patterns, observability, latency and cost optimization.
• Functional exposure to Asset Management, Investment Operations, Distribution, Client Reporting or Middle Office processes is preferred.

Roles & Responsibilities

• Lead hands-on build, deployment and productionization of Claude based agentic AI, RAG and LLM solutions on AWS and enterprise internal platforms.
• Partner directly with business users, domain SMEs, architects, security, cloud and data teams to convert ambiguous needs into working AI products.
• Own solution design for agent workflows, API/tool integrations, prompt templates, evaluators, guardrails, human approval flows and exception handling.
• Drive rapid discovery, prototyping, MVP delivery, production hardening and scale-up across prioritized asset management use cases.
• Provide technical leadership to FDEs and engineers through design reviews, code reviews, troubleshooting, reusable patterns and delivery governance.
• Integrate AI applications with internal systems, enterprise data sources, knowledge repositories, workflow tools and API ecosystems.
• Troubleshoot complex live issues including hallucination, retrieval quality, model behavior, latency, failed tool calls, orchestration errors and access constraints.
• Optimize performance, reliability and cost using caching, model routing, batching, prompt tuning, monitoring and architecture improvements.
• Ensure solutions align with enterprise security, IAM, encryption, audit logging, privacy, AI governance and model risk requirements.
• Create technical documentation, implementation plans, deployment runbooks, demos and transition materials for support and long-term adoption.

Generic Managerial Skills, If any

• Strong client-facing leadership with ability to communicate complex AI solutions clearly to business, domain, architecture and engineering stakeholders.
• Ability to lead in ambiguous environments, structure problem statements and drive fast iterative delivery with measurable outcomes.
• Strong collaboration skills across product owners, SMEs, security, cloud, data, architecture and delivery teams.
• Ownership mindset with ability to independently drive PoCs, MVPs, production fixes, technical decisions and delivery commitments.
• Strong prioritization, risk management, issue escalation and stakeholder alignment skills in live enterprise environments.
• Ability to mentor engineers, establish reusable engineering patterns, enforce code quality and promote disciplined delivery practices.

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 - 150,000 a year

Qualifications: BACHELOR OF COMPUTER SCIENCE