Lead Applied AI Engineer

Tata Consultancy Services; New York (NY); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Medical Coverage

Parental Leaves

401K Plan

Training Reimbursement

Vacation & Holidays

Time Off

Legal Assistance

Job summary

Tata Consultancy Services in New York is seeking a Lead Applied AI Engineer to architect and deliver production-grade AI systems that integrate Generative AI, AI agents, and enterprise platforms. You will drive governance, reliability, and responsible AI practices across the organization.

The role emphasizes mentoring engineering teams, establishing engineering best practices, and collaborating across platform, data, and security functions to enable scalable AI solutions in complex business

Qualifications

• Lead AI engineering experience with enterprise-scale systems.
• Experience with generative AI, AI agents, and retrieval pipelines.
• Strong governance and responsible AI practices.

Responsibilities

• Architect end-to-end AI systems with RAG pipelines and multi-model integrations.
• Define engineering standards for prompt engineering, testing, and evaluation frameworks.
• Lead deployment of AI solutions with observability, logging, and reliability practices.
• Collaborate with platform teams for GPU infrastructure and scalable data storage.
• Mentor engineers through design reviews, code reviews, and career development.
• Ensure governance, compliance, and responsible AI principles across projects.

Skills

Lead architecture

Mentor engineers

Responsible AI

Education

Bachelor of Computer Science

Tools

GPU infrastructure

Job description

Job Description We are seeking an accomplished Lead Applied AI Engineer to architect and deliver advanced AI systems that seamlessly integrate Generative AI capabilities, AI agents, and modern enterprise platforms.

Job Description We are seeking an accomplished Lead Applied AI Engineer to architect and deliver advanced AI systems that seamlessly integrate Generative AI capabilities, AI agents, and modern enterprise platforms. This role is responsible for designing, building, deploying, and scaling production-grade AI solutions that support large-scale business operations while maintaining high standards of security, reliability, governance, and responsible AI practices. The Lead Applied AI Engineer will define technical standards, lead enterprise AI adoption, establish engineering best practices, and mentor engineering teams. This position operates at the intersection of AI innovation, enterprise architecture, platform engineering, and responsible AI governance.

Key Responsibilities

AI Solution Architecture

• Architect comprehensive end-to-end AI systems including:
• Advanced RAG (Retrieval-Augmented Generation) pipelines
• Multi-stage retrieval and re-ranking architectures
• Agent orchestration frameworks coordinating multiple specialized agents
• Multi-model AI integrations leveraging model-specific strengths
• Design solutions with modularity, extensibility, scalability, and operational excellence to support evolving business requirements.

AI Engineering Standards & Optimization

• Define enterprise standards for:
• Prompt engineering
• Prompt templates and versioning
• Testing methodologies
• Evaluation frameworks
• Establish performance optimization strategies covering:
• Model selection criteria
• Caching patterns
• Resource utilization
• Cost optimization

Production Deployment & Reliability

• Lead deployment of AI solutions into production environments with:
• Comprehensive observability
• Logging and tracing
• Reliability engineering practices
• Graceful degradation mechanisms
• Circuit breaker implementation
• Real-time monitoring dashboards
• Automated alerting
• Incident response procedures
• Ensure AI services meet stringent service-level objectives and enterprise reliability expectations.

Data & Retrieval Architecture

• Design scalable data ingestion frameworks that process:
• Structured data sources
• Unstructured documents
• Real-time event streams
• Develop:
• Vector database architectures
• Hybrid search capabilities
• Data preprocessing pipelinesData quality monitoring frameworks
• Ensure high-quality inputs for AI systems through cleansing, enrichment, and governance processes.

AI Evaluation & Continuous Improvement

• Establish quantitative evaluation frameworks for AI systems.
• Implement:
• A/B testing capabilities
• Performance benchmarking
• User feedback analysis
• Telemetry-based optimization
• Drive continuous improvements across:
• Prompts
• Retrieval strategies
• Agent workflows
• Model configurations

Platform & Infrastructure Collaboration

• Partner with platform and infrastructure teams to ensure readiness for AI workloads, including:
• GPU infrastructure
• Model serving platforms
• Feature stores
• Scalable data storage
• Networking infrastructure
• Define requirements for enterprise AI platform capabilities and integration patterns.

Technical Leadership & Mentoring

• Mentor engineers through:
• Architecture reviews
• Design guidance
• Code reviews
• Career development support
• Promote engineering excellence through:
• Best-practice documentation
• Technical training
• Communities of practice
• Foster a culture of responsible and ethical AI development.

Responsible AI & Compliance

• Ensure AI solutions adhere to enterprise governance and compliance requirements.
• Maintain documentation of:
• System behavior
• Decision logic
• Evaluation methodologies
• Apply responsible AI principles including:
• Fairness
• Transparency
• Accountability
• Bias mitigation
• Support compliance with applicable regulatory and industry requirements.

Salary Range: $120,000 -$140,000 year

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.

Qualifications

BACHELOR OF COMPUTER SCIENCE