Aws Ai Senior Tech Lead

Tata Consultancy Services; Charlotte (NC); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Discretionary Incentive

Medical Coverage

Parental Leave

Identity Protection

Certification & Training

Vacations & Holidays

401K Plan

Job summary

Tata Consultancy Services Limited in Charlotte, NC seeks a Technical Lead to helm AI agent capabilities, cloud-native implementations, and secure, scalable software delivery. You will guide teams on architecture, tooling, and best practices while aligning with client standards and enterprise security requirements.

Lead across components, foster collaboration with product, security, and QA teams, and drive end-to-end delivery quality with a strong focus on observability and performance.

Qualifications

• Strong Python and TypeScript/JavaScript, REST APIs and microservices.
• Hands-on with AWS Bedrock, SageMaker, Lambda, Step Functions, and CI/CD tooling.
• Deep knowledge of prompt engineering, agent orchestration, tool integration, vector stores, embeddings, evaluation, and guardrails.
• Ability to enforce engineering standards, secure coding, performance tuning, and observability practices.
• Strong leadership, mentoring, estimation, planning, and stakeholder communication skills.

Responsibilities

• Lead the 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, and 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 teams to drive end-to-end delivery quality.
• Establish technical best practices, coding standards, review processes, and reusable accelerators.
• Support environment readiness, deployment planning, defect triage, production readiness reviews, and knowledge transition.
• Collaborate with enterprise architecture, security, data, cloud platform, application, and business teams to ensure alignment with client standards.
• Embed application security and cloud security requirements into solution design, including IAM, encryption, network controls, API protection, secrets management, logging, and monitoring.
• Drive build-versus-buy evaluations, technology selection, platform design decisions, security trade-off analysis, and architectural risk mitigation.
• Establish reusable cloud patterns, secure integration standards, deployment approaches, and non-functional requirements for performance, resiliency, and security.
• Review detailed designs and implementation outputs to ensure adherence to approved architecture, security controls, and operational readiness expectations.

Skills

Artificial Intelligence

AWS

Education

Bachelor of Computer Science

Job description

Job Description

Must Have Technical/Functional Skills

• * AWS Certified Solutions Architect Professional or equivalent cloud architecture certification preferred.
• * 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
• * Strong understanding of AI agent patterns, prompt orchestration, tool/function calling, RAG pipelines, model evaluation, guardrails, and observability.
• * Strong application security and cloud security knowledge, including threat modeling, OWASP/API security, identity and access management, encryption, secure SDLC, logging, monitoring, and resilience patterns.
• * Ability to define non-functional requirements for security, privacy, performance, resiliency, scalability, auditability, and operational readiness.
• * Excellent communication skills with ability to present architecture decisions, risks, and trade-offs to senior stakeholders.

Roles & Responsibilities

• * Lead the 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, and 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 teams to drive end-to-end delivery quality.
• * Establish technical best practices, coding standards, review processes, and reusable accelerators.
• * Support environment readiness, deployment planning, defect triage, production readiness reviews, and knowledge transition.
• * Collaborate with enterprise architecture, security, data, cloud platform, application, and business teams to ensure alignment with client standards.
• * Embed application security and cloud security requirements into solution design, including IAM, encryption, network controls, API protection, secrets management, secure data access, logging, and monitoring.
• * Drive build-versus-buy evaluations, technology selection, platform design decisions, security trade-off analysis, and architectural risk mitigation.
• * Establish reusable cloud patterns, secure integration standards, deployment approaches, and non-functional requirements for performance, resiliency, and security.
• * Review detailed designs and implementation outputs to ensure adherence to approved architecture, security controls, and operational readiness expectations.

Generic Managerial Skills, If any

• * Bachelor's degree in computer science, Engineering, Informatio n Systems, Cybersecurity, or related field; advanced degree preferred.
• * 10+ years of technology architecture experience, including 4+ years designing cloud-native solutions on AWS.
• * Strong experience architecting Gen AI, LLM, RAG, agentic workflow, and AI platform solutions for enterprise-scale programs.
• * Hands-on exposure to AWS Bedrock, SageMaker, Lambda, Step Functions, API Gateway, ECS/EKS, S3, IAM, CloudWatch, networking, and security constructs.
• * Strong understanding of application security and cloud security, including secure design, IAM, encryption, network segmentation, API security, secrets management, logging, monitoring, and compliance controls.
• * Experience designing governed, compliant, auditable platforms for regulated domains; insurance or financial services 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.

Location

Charlotte, NC

Function

TECHNOLOGY

Role

Technical Lead

ID

435327

Skills

Artificial Intelligence | AWS

Salary Range

• Salary Range: $130,000-$150,000 a year
• $130,000 - $150,000

Desired Candidate Profile

Qualifications

BACHELOR OF COMPUTER SCIENCE