Must Have Technical/Functional Skills
- 8+ years of experience in Data Science, Machine Learning, and AI solution delivery.
- Strong hands-on experience designing and deploying Generative AI, Agentic AI, and traditional ML solutions.
- Deep expertise in LLMs, RAG architectures, prompt engineering, and retrieval systems.
- Experience building multi-agent AI solutions using frameworks such as LangGraph, Google ADK, AutoGen, CrewAI, or similar.
- Strong programming skills in Python with experience developing production-grade AI applications.
- Working knowledge of SQL, JavaScript/TypeScript, and React for full-stack AI solution development.
- Experience developing and deploying REST APIs, AI services, and intelligent applications.
- Hands-on experience with GCP Vertex AI, plus familiarity with AWS (Bedrock, SageMaker) and Databricks.
- Experience with Docker, Kubernetes, CI/CD, and cloud-based solution deployment.
- Strong understanding of AI evaluation, observability, hallucination detection, red-teaming, safety testing, and responsible AI practices.
- Experience integrating AI solutions with enterprise data platforms, APIs, tools, and business workflows.
- Proven ability to lead end-to-end AI solution delivery, from ideation and architecture through deployment and production monitoring.
- Strong stakeholder management, solution design, and technical leadership skills.
- Experience mentoring engineers and driving technical standards, best practices, and AI adoption across teams.
Roles & Responsibilities
- Lead the design, development, and deployment of AI/ML, Generative AI, and Agentic AI solutions from concept through production.
- Architect and implement LLM-based applications, RAG frameworks, multi-agent systems, and intelligent automation solutions.
- Develop scalable AI services, APIs, and full-stack applications using Python, React, and modern cloud technologies.
- Build and optimize retrieval systems, knowledge graphs, prompt frameworks, and enterprise AI workflows.
- Partner with business stakeholders to identify opportunities, define solution roadmaps, and deliver measurable business outcomes.
- Drive technical decisions related to AI architecture, model selection, orchestration frameworks, cloud services, and data platform integrations.
- Develop rapid prototypes and proof-of-concepts to validate AI use cases and accelerate adoption.
- Establish and enforce best practices for AI engineering, model evaluation, testing, observability, security, and Responsible AI.
- Deploy, monitor, and optimize production AI solutions using cloud-native and DevOps practices.
- Collaborate with Data Scientists, Engineers, Product Managers, and Technology teams to deliver enterprise-scale AI capabilities.
- Mentor and guide AI Engineers and Data Scientists, fostering technical excellence and innovation.
- Evaluate emerging AI technologies, frameworks, and tools, and recommend their adoption where appropriate.
- Communicate solution architecture, implementation approaches, and business value to senior leadership and executive stakeholders.
- Drive continuous improvement of AI delivery standards, reusable frameworks, and enterprise AI capabilities.
TCS Employee Benefits Summary:
Discret ionary 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: $120,000 - 130,000 a year