Principal, Ai Engineer, Solution Delivery

Tata Consultancy Services; New York (NY); Presencial; USD 150.000 - 200.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services in New York, NY is seeking a Senior Engineer to lead AI/ML and GenAI initiatives end-to-end, partnering with data, technology, product, and business teams. You will scope opportunities, design solutions, and own delivery on the enterprise AI platform using CI/CD and IaC templates.

The role requires deep expertise across AI stacks, rapid prototyping with Streamlit/React, and hands-on experience with LLMs, RAG, and multi-agent systems. Travel is limited.

Formación

• Extensive experience applying data science, ML, and AI to real-world business problems.
• Fluent with AI-assisted engineering tools and engineering agents.
• Full-stack AI fluency from statistical modeling to production-ready apps.
• Strong Python development with working SQL and JavaScript/TypeScript for frontend.
• Experience with containers (Docker) and Kubernetes deployment.
• Deep hands-on with LLMs, RAG, and prompt engineering; graph-based retrieval.
• Experience developing and evaluating AI systems with rigorous tests and monitoring.
• Proficiency with cloud AI platforms (GCP Vertex AI, AWS SageMaker/Bedrock) and Databricks.
• Excellent stakeholder engagement and mentoring abilities.
• Experience in regulated industries is a plus.

Responsabilidades

• Lead AI/ML and GenAI initiatives end-to-end with cross-functional teams.
• Scope opportunities and shape solution designs from feasibility to delivery.
• Own end-to-end delivery on the enterprise AI platform with CI/CD and IaC.
• Design and implement agentic AI systems with multi-agent orchestration.
• Deploy production-grade RAG and retrieval systems with advanced patterns.
• Make technical decisions across AI stack and cloud platforms.
• Prototype AI-powered apps and interfaces using modern frameworks.
• Build with AI-assisted engineering tools daily and review outputs critically.
• Define standards for responsible AI, testing, observability, and evaluation.
• Provide leadership and mentorship to data scientists and AI engineers.
• Limited travel (<10%) to events and vendor meetings.

Conocimientos

Data Science

Machine Learning

AI

Python

SQL

JavaScript/TypeScript

React

Streamlit

Docker

Kubernetes

LangGraph

MCP

Vertex AI

SageMaker

Databricks

CI/CD

Educación

Bachelor's degree in Computer Science

Herramientas

Docker

Kubernetes

LangGraph

MCP

Google ADK

Sagemaker

Bedrock

Databricks

Vertex AI

React

Streamlit

CI/CD tools

Descripción del empleo

Must Have Technical/Functional Skills

• Extensive experience applying data science, ML, and AI to real-world business problems, with demonstrated growth in scope, complexity, and influence.


• Fluent with AI-assisted engineering tools, such as Codex, Claude Code, used daily as a force multiplier, with critical review of generated output. Experience building engineering agents that accelerate delivery itself, such as testing, code review, or deployment-validation agents, not just using AI tools to write code.


• Full-stack AI fluency: demonstrated ability to work across the spectrum from statistical modeling and ML to LLM application development and agentic system design, including rapid prototyping (e.g., Streamlit, React) and owning solutions through to production.


• Strong software engineering skills in Python; working knowledge of SQL and JavaScript/TypeScript sufficient to build and ship a solution's front end (e.g., React). Comfort with modern development practices including testing, code review, and CI/CD. Working fluency with containers (Docker) and Kubernetes-based deployment, sufficient to independently ship and operate a solution on the platform, not to build or own platform infrastructure.


• Deep hands-on experience with LLMs, RAG architectures, and prompt engineering, including graph-based retrieval (GraphRAG, knowledge graphs) alongside traditional vector-based RAG. Hands-on experience with multi-agent and sub-agent orchestration frameworks (e.g., LangGraph, Google ADK, or equivalent) and MCP or equivalent tool-integration protocols, for production agentic systems.


• Experience developing and evaluating AI systems rigorously: automated evaluation pipelines, red-teaming, hallucination detection, safety testing, and performance monitoring.


• Proficiency with cloud AI platforms, particularly GCP Vertex AI for agentic development, with working knowledge of AWS services (SageMaker, Bedrock) and modern data platforms (Databricks). Comfort consuming cloud-native platform services (existing IaC templates, CI/CD pipelines, the AI gateway) to deploy and operate solutions.


• Strong stakeholder engagement and communication skills: ability to scope initiatives, present to senior leaders, manage expectations, and drive alignment across business and technology partners.


• Track record of mentoring and elevating technical talent.


• Experience in life insurance, financial services, or other regulated industries is a plus.

Roles & Responsibilities

• Lead AI/ML and GenAI initiatives end-to-end, in partnership with data, technology, product, and business teams.


• Scope and shape initiatives from opportunity identification and feasibility assessment through solution design, delivery, and stakeholder alignment.


• Own end-to-end delivery for AI solutions, from build through evaluation, deployment, and production monitoring, shipping and operating them on the enterprise AI platform using its existing CI/CD, IaC templates, and gateway.


• Design and implement agentic AI systems, including multi-agent orchestration, tool use, memory architectures, human-in-the-loop checkpoints, and safety guardrails. Build multi-agent solutions with sub-agents that plan, implement, validate, deploy, and log.


• Design and deploy production-grade RAG and retrieval systems, including hybrid search, reranking, evaluation, and advanced retrieval patterns (agentic RAG, graph-enhanced retrieval) as appropriate.


• Lead technical decisions across the AI stack: model selection, orchestration frameworks and tool-integration protocols (e.g., LangGraph, MCP, or direct API integration), cloud AI platforms (GCP, AWS), and data platform (Databricks) integration.


• Rapidly prototype AI-powered applications and interfaces to validate ideas, test usability, and accelerate adoption, using modern frameworks (Streamlit, React, or similar).


• Build with AI-assisted engineering tools daily (such as Codex, Claude Code) as a force multiplier, with critical review of all generated output. Build engineering agents that accelerate the team's own delivery, for example agents that assist with testing, code review, or deployment validation, not just use AI tools to write code.


• Define and evolve technical standards for AI development, including evaluation frameworks, testing practices, observability, and responsible AI principles. Evaluate and integrate emerging AI capabilities (new foundation models, agent frameworks, AI-assisted development tools).


• Provide technical leadership and mentorship to data scientists and AI engineers, fostering a culture of rapid experimentation, rigorous evaluation, and continuous learning.


• This role involves limited travel (<10%) to events and vendor meetings.

Salary Range: $150,000-$200,000 a year

Location

New York, NY

Function

TECHNOLOGY

Role

Senior Engineer

ID

438218

Skills

Data Science

Salary Range

$150,000 - $200,000

Desired Candidate Profile

Qualifications

BACHELOR OF COMPUTER SCIENCE