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
o Advanced RAG (Retrieval-Augmented Generation) pipelines
o Multi-stage retrieval and re-ranking architectures
o Agent orchestration frameworks coordinating multiple specialized agents
o Multi-model AI integrations leveraging model-specific strengths
AI Engineering Standards & Optimization
o Prompt engineering
o Prompt templates and versioning
o Testing methodologies
o Evaluation frameworks
o Model selection criteria
o Caching patterns
o Resource utilization
o Cost optimization
Production Deployment & Reliability
o Comprehensive observability
o Logging and tracing
o Reliability engineering practices
o Graceful degradation mechanisms
o Circuit breaker implementation
o Real-time monitoring dashboards
o Automated alerting
o Incident response procedures
Data & Retrieval Architecture
o Structured data sources
o Unstructured documents
o Real-time event streams
o Vector database architectures
o Hybrid search capabilities
o Data preprocessing pipelines
o Data quality monitoring frameworks
AI Evaluation & Continuous Improvement
o A/B testing capabilities
o Performance benchmarking
o User feedback analysis
o Telemetry-based optimization
o Prompts
o Retrieval strategies
o Agent workflows
o Model configurations
Platform & Infrastructure Collaboration
o GPU infrastructure
o Model serving platforms
o Feature stores
o Scalable data storage
o Networking infrastructure
Technical Leadership & Mentoring
o Architecture reviews
o Design guidance
o Code reviews
o Career development support
o Best-practice documentation
o Technical training
o Communities of practice
Responsible AI & Compliance
o System behavior
o Decision logic
o Evaluation methodologies
o Fairness
o Transparency
o Accountability
o Bias mitigation
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 & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SP1
| Location | New York, NY |
| Salary | $120,000–$140,000 Per Year |
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