Technical Lead Generative AI (GenAI) Solutions

Job Title: Technical Lead Generative AI (GenAI) Solutions

Location: Houston, TX (Onsite)
Contract Type-W2

Job Description

We are looking for a Technical Lead Generative AI (GenAI) Solutions to lead the design, development, and delivery of enterprise-grade AI solutions. The ideal candidate will have strong hands-on engineering experience, proven technical leadership, and deep knowledge of AI/ML systems, agent architectures, and modern microservices platforms. This role requires close collaboration with product managers, engineering leaders, and business stakeholders.

Key Responsibilities

• Lead end-to-end technical delivery of Generative AI solutions, including AI agents, RAG pipelines, and automation components.
• Translate business and product requirements into scalable technical designs and implementations.
• Own technical architecture, design decisions, and engineering standards across the pod/team.
• Participate in sprint planning, backlog grooming, and technical discovery sessions.
• Conduct code reviews, manage module ownership, and ensure adherence to best practices.
• Track delivery metrics including velocity, quality, and performance.
• Drive A/B testing, experimentation, and continuous improvement initiatives.
• Mentor and support junior engineers (SDE I and SDE II).
• Collaborate with Product Managers, Tech Chapter Leads, and Engagement Leads to align solutions with platform strategy.
• Communicate technical updates and risks to business and technical stakeholders.
• Represent the team in architecture reviews and technical forums.

Required Skills & Qualifications

Technical Leadership & Engineering

• 8+ years of software engineering experience with at least 2+ years in a technical lead role.
• Strong experience in client-side and backend development, including service orchestration and streaming.
• Expertise in microservices architecture and enterprise AI/ML platforms.
• Experience with API design, service integrations, and cross-platform communication.
• Proficiency with CI/CD pipelines, version control, and automated deployments.

Generative AI & Agent Systems

• Hands-on experience designing and developing Generative AI applications.
• Experience building conversational AI, autonomous agents, and multi-agent systems.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures.
• Experience with inference strategies and model selection trade-offs (cloud-based vs on-device).

Security & Compliance

• Knowledge of enterprise data privacy, cybersecurity standards, and regulatory requirements.
• Experience handling user interaction data, logs, observability, and retention policies.

Testing & Observability

• Experience with observability tools for logging, monitoring, and distributed tracing.
• Strong understanding of API testing, authentication, and authorization mechanisms.

Preferred Qualifications

• Experience delivering AI solutions in large-scale enterprise environments.
• Exposure to data science, automation, or ML engineering workflows.
• Strong communication skills with the ability to translate technical concepts to non-technical stakeholders.