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1–2 jobs· newest first

Lead AI and Data Science Engineer IINew
Deloitte · Tampa, US
$135K–$224KHybrid · Full-time · Lead
Lead GenAI Engineer
Citi · Pune, India
On-site · Full-time · Senior

+10K new in the last hour

Lead AI and Data Science Engineer II

Deloitte · Posted Nov 2, 2026

Tampa, Florida, United States
Hybrid
Full-time · Lead
$135K–$224K per year
8+ years

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A practitioner in the AI & Engineering offering portfolio helps design, build, and deliver AI-enabled and software solutions for clients, translating business problems into technical products and applications.

Compensation

A reasonable estimate of the current range is $134,500 to $224,100.

Responsibilities

Design, build, and deliver AI-enabled and software solutions for clients
Translate business problems into technical products and applications
Work across data, cloud, engineering, and GenAI capabilities to accelerate delivery

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
Nice to have: Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
Nice to have: Active US Government security clearance

Skills

GenAI Agentic platform development Machine learning implementation Databricks Snowflake Palantir Anthropic Agentic and large language model security Prompt injection mitigation Excessive agency mitigation Agentic governance and observability Claude Code GitHub Copilot

Benefits

Discretionary annual incentive program

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Lead GenAI Engineer

Citi · Posted Nov 9, 2026

Pune, Maharashtra, India
On-site
Full-time · Senior
7+ years

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Vice President level Senior AI Engineer role focused on designing and deploying Generative AI and Agentic AI solutions for the banking sector.

Responsibilities

Design, implement, test, and deploy scalable generative AI applications and agentic workflows for critical banking use cases.
Build end-to-end applications integrating front-end interfaces, backend services, and state-of-the-art LLM tools, APIs, and Model Context Protocol (MCP) integrations.
Champion an agile, MVP-first mindset to rapidly develop Proof of Concepts (POCs), run A/B experiments, iterate based on feedback, and accelerate time-to-value.
Implement evaluation metrics, guardrails, automated testing, and telemetry to benchmark agent behavior, response accuracy, and operational performance.
Collaborate closely with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams; uphold best practices in code quality, automated testing, CI/CD, and peer reviews.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field
Nice to have: Experience in banking, financial services, or other highly regulated enterprise environments

Skills

LLMs Prompt Engineering

Agentic Platform development

Vector databases

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