AI Forward Deployed Engineer

Role: Engineer

Required Skills: Python | API(Application programming interface)

Qualification: BACHELOR OF ENGINEERING

Experience: 8 - 13 Years

Function: TECHNOLOGY

Apply By: 2026-12-26

Must Have Technical/Functional Skills

• Strong coding skills; Python; API integration; cloud platforms AWS and Microsoft Azure for

Authentication

• Hands-on with Agentic Frameworks, LLMs, prompt design, RAG, agents, evaluation frameworks well

versed with enterprise-grade LLM platforms

• Able to translate between business stakeholders and engineering teams
• Comfortable with ambiguity on requirements and discover requirements with stakeholder

engagements

• Proactive, outcomes-focused, able to manage client expectations
• Experience working within Pharma or Biotech organizations, with a solid understanding of drug

development lifecycles

Roles & Responsibilities

Core Responsibilities

Client-Facing Deployment

• Serve as the primary technical point of contact for AI solution design, discovery and rollouts at

customer sites

• Translate business requirements into working AI implementations, often under time pressure
• Lead technical discovery sessions to map customer workflows and identify integration points
• Demo and prototype solutions live in client environments

Technical Implementation

• Build and configure AI-powered applications, agents, and pipelines tailored to client use cases
• Integrate Agents, LLMs and AI tooling with existing enterprise systems (CRMs, ERPs, data

warehouses, APIs)

• Develop prompt engineering frameworks, RAG pipelines, fine-tuning strategies, and evaluation

suites

• Write production-quality code (Python) to bridge AI capabilities and client infrastructure with Basic

knowledge of Containerization (Docker , Kubernetes)

• Manage and troubleshoot deployments across cloud environments (AWS, Azure for authentication)

Solution Design & Advisory

• Act as a trusted advisor, guiding clients on AI architecture decisions and best practices.
• Identify high-value use cases within client organizations and build business cases for expansion
• Assess AI risk, data privacy concerns, and governance requirements for each deployment

Enablement & Documentation

• Train client teams - technical and non-technical - on deployed solutions
• Produce runbooks, architecture diagrams, and integration documentation
• Build reusable templates, accelerators, and internal tool from learnings across engagements

Generic Managerial Skills, If any

• Strong collaboration skills with the ability to work effectively across cross-functional and

geographically distributed teams, fostering a culture of trust and shared accountability

• Proven conflict management abilities; adept at identifying, de-escalating, and resolving

disagreements among stakeholders, teams, and clients in a constructive and professional manner

• High sense of ownership; takes end-to-end responsibility for deliverables, proactively identifies risks,

and drives initiatives to successful completion with minimal supervision

• Exceptional stakeholder management skills; experienced in building and maintaining strong

relationships with senior leadership, business partners, and external clients, ensuring alignment of

goals, priorities, and expectations

Salary Range: $90,000-$120,000 a year & nbsp;

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 & amp; Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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