Must Have Technical/Functional Skills
§ Strong hands-on capability in Python, TypeScript/JavaScript, REST APIs, microservices, event-driven patterns, and containerized deployments.
§ Experience with AWS Bedrock, SageMaker, Lambda, Step Functions, ECS/EKS, API Gateway, S3, CloudWatch, and CI/CD tooling.
§ Deep understanding of prompt engineering, agent orchestration, tool integration, vector stores, embeddings, model evaluation, and AI guardrails.
§ Ability to enforce engineering standards, code quality, secure coding, performance tuning and observability practices.
§ Strong leadership, mentoring, estimation, planning, and stakeholder communication skills.
§ Familiarity with compliance, audit logging, model risk controls, and responsible AI practices.
Responsibilities
§ Lead technical delivery of AI agent capabilities, reusable platform components, integrations and automation workflows.
§ Translate solution architecture into detailed engineering designs, sprint plans, and implementation tasks.
§ Guide developers on AI patterns, cloud-native implementation, secure coding, testability & performance optimization.
§ Build and review core components such as agent orchestration services, API layers, RAG services, tool connectors, and model interaction modules.
§ Coordinate with architects, product owners, UX designers, security SMEs, and QA to drive end-to-end delivery.
§ Establish technical best practices, coding standards, review processes, and reusable accelerators.
§ Support environment readiness, deployment planning, defect triage, production readiness reviews & knowledge transition.
Generic Qualifications
§ Bachelor's degree in Computer Science Engineering, Data Science, or related discipline; advanced degree preferred.
§ 10+ years of software engineering experience with 3+ years in AI/ML, Gen AI, or intelligent automation delivery.
§ Hands-on experience building LLM-based applications, AI agents, RAG pipelines, APIs & cloud-native services.
§ Experience leading engineering teams in agile delivery models for enterprise-scale platforms.
§ Strong exposure to AWS cloud services and modern DevSecOps practices.
§ Insurance or financial services technology delivery experience preferred.
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: $120,000 - $140,000 a year
More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services
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