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.
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 w...
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.
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