AI Technical Lead – GenAI & Agentic AI

Moder

1d • Onsite

About The Position

The AI Technical Lead is responsible for leading the design, architecture, development, and deployment of enterprise-scale Generative AI and Agentic AI solutions that drive business transformation and innovation. This role combines deep technical expertise in Large Language Models (LLMs), Agentic AI systems, cloud-native AI platforms, and AI engineering best practices with strong customer engagement and technical leadership capabilities. The position serves as the primary technical authority for AI solution delivery, guiding architecture decisions, establishing engineering standards, and leading cross-functional teams in building scalable, secure, and production-ready AI applications. The AI Technical Lead partners closely with customers, business stakeholders, product teams, and engineering organizations to translate business objectives into practical AI solutions that deliver measurable value.

Requirements

• Advanced Python development
• Large Language Models (LLMs)
• Generative AI application development
• Retrieval-Augmented Generation (RAG)
• Agentic AI architectures
• Multi-agent systems
• Model Context Protocol (MCP)
• Tool-calling and agent orchestration frameworks
• AI evaluation and observability platforms
• Cloud platforms (Azure, AWS, Google Cloud)
• API design and integration
• Enterprise application architecture
• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
• 10+ years of experience in Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or related technical disciplines.
• Demonstrated experience leading complex AI solution delivery programs from concept through production deployment.
• Proven experience working directly with business stakeholders and customers in consulting or solution delivery environments.

Nice To Haves

• Experience with LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar agent orchestration frameworks.
• Experience implementing AI governance, responsible AI, and model risk management frameworks.
• Familiarity with MLOps, LLMOps, CI/CD pipelines, and cloud-native deployment models.
• Experience leading enterprise-scale AI transformation initiatives.
• Banking & Financial Services industry experience, including exposure to customer servicing, operations, risk, underwriting, fraud, claims, or compliance use cases.

Responsibilities

• Lead the end-to-end design and delivery of Generative AI and Agentic AI solutions.
• Define reference architectures, implementation patterns, and engineering standards for enterprise AI applications.
• Evaluate emerging AI technologies and frameworks and recommend adoption strategies.
• Ensure AI solutions align with enterprise architecture, security, governance, and scalability requirements.
• Architect and implement Agentic AI systems, including: Multi-agent workflows, Agent orchestration patterns, Memory architectures, Tool integration frameworks, Retrieval-Augmented Generation (RAG) solutions.
• Design AI agents capable of interacting with enterprise systems, APIs, business processes, and knowledge repositories.
• Establish reusable frameworks for autonomous and semi-autonomous agent execution.
• Lead development of AI-powered applications utilizing LLMs, foundation models, and enterprise knowledge sources.
• Design and implement solutions leveraging: Model Context Protocol (MCP), External APIs, Enterprise data platforms, Knowledge management systems, Business applications.
• Guide engineering teams in implementing production-grade AI architectures and services.
• Define and implement AI evaluation frameworks covering: Response quality, Groundedness, Hallucination detection, Agent performance, Safety and reliability.
• Establish AI monitoring, observability, and operational performance standards.
• Support responsible AI, governance, compliance, and model risk management practices.
• Develop metrics and measurement frameworks to assess business and technical outcomes.
• Design, deploy, and optimize AI solutions across Azure, AWS, and Google Cloud environments.
• Collaborate with platform teams to establish scalable and secure AI infrastructure.
• Drive adoption of cloud-native architectures, LLMOps, MLOps, and automation practices.
• Ensure solutions meet enterprise requirements for availability, security, performance, and cost efficiency.
• Champion adoption of AI-assisted development platforms including: Claude Code, GitHub Copilot, Cursor, Equivalent AI engineering tools.
• Establish best practices for AI-enabled software development and engineering productivity.
• Identify opportunities to accelerate delivery through AI-assisted workflows and automation.
• Work directly with customers to understand business challenges and identify AI-driven opportunities.
• Translate business requirements into scalable technical architectures and implementation plans.
• Lead technical workshops, architecture reviews, proofs of concept, and solution demonstrations.
• Serve as a trusted advisor on AI strategy, implementation, and operationalization.
• Performs other related duties as assigned.
• Comply with all company policies and procedures.
• Maintain regular and punctual attendance.

Benefits

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• The company is committed to providing equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, sex, marital status, sexual orientation, gender identity or expression, pregnancy, religion, national origin, age (40 and over), disability, military status, genetic information, or any other basis protected by applicable federal, state, or local laws.
• Applicants as well as employees who are or become disabled must be able to satisfactorily perform the essential job functions of the position either with or without reasonable accommodation.
• Applicants as well as employees are encouraged to meet with Human Resources as the organization shall review reasonable accommodations on a case-by-case basis in accordance with applicable law.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior