Lead Applied AI Engineer - New York, NY | TCS Job

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:

oAdvanced RAG (Retrieval-Augmented Generation) pipelines

oMulti-stage retrieval and re-ranking architectures

oAgent orchestration frameworks coordinating multiple specialized agents

oMulti-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:

oPrompt engineering

oPrompt templates and versioning

oTesting methodologies

oEvaluation frameworks

•Establish performance optimization strategies covering:

oModel selection criteria

oCaching patterns

oResource utilization

oCost optimization

Production Deployment & Reliability

•Lead deployment of AI solutions into production environments with:

oComprehensive observability

oLogging and tracing

oReliability engineering practices

oGraceful degradation mechanisms

oCircuit breaker implementation

oReal-time monitoring dashboards

oAutomated alerting

oIncident response procedures

•Ensure AI services meet stringent service-level objectives and enterprise reliability expectations.

Data & Retrieval Architecture

•Design scalable data ingestion frameworks that process:

oStructured data sources

oUnstructured documents

oReal-time event streams

•Develop:

oVector database architectures

oHybrid search capabilities

oData preprocessing pipelines

oData 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:

oA/B testing capabilities

oPerformance benchmarking

oUser feedback analysis

oTelemetry-based optimization

•Drive continuous improvements across:

oPrompts

oRetrieval strategies

oAgent workflows

oModel configurations

Platform & Infrastructure Collaboration

•Partner with platform and infrastructure teams to ensure readiness for AI workloads, including:

oGPU infrastructure

oModel serving platforms

oFeature stores

oScalable data storage

oNetworking infrastructure

•Define requirements for enterprise AI platform capabilities and integration patterns.

Technical Leadership & Mentoring

•Mentor engineers through:

oArchitecture reviews

oDesign guidance

oCode reviews

oCareer development support

•Promote engineering excellence through:

oBest-practice documentation

oTechnical training

oCommunities 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:

oSystem behavior

oDecision logic

oEvaluation methodologies

•Apply responsible AI principles including:

oFairness

oTransparency

o Accountability

oBias 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 & 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.

 

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