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
More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services
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