AI Technical Lead - Python, AWS Full Stack

Qualifications

• Very strong AWS full-stack dveloper / engineer (tech lead) required
• Python, AWS Full stack developer essential
• AI experience is essential and requires current experience working with AI
• Engineering & Architecture
• Strong experience with cloud-native development, including secure handling of secrets, environment variables, and service configurations
• Proficiency in CI/CD pipelines for AI systems and microservices
• Familiarity with team-based access control, code ownership, and repository governance
• Skilled in modern programming languages and infrastructure-as-code practices
• Ability to manage API specifications and service integrations across platforms
• Experience agile software development
• AI & Agentic Systems
• Experience designing and deploying conversational agents and multi-agent systems
• Capable of orchestrating agent workflows, managing context, and integrating external data sources
• Understanding of retrieval-augmented generation (RAG) patterns and scalable inference strategies
• Comfortable evaluating trade-offs between deployment models (e.g. serverless vs. containerised)
• Security & Compliance
• Awareness of enterprise data privacy and cybersecurity standards
• Responsible handling of user interactions and logs, with clear boundaries for data retention and observability
• Use of observability tools for tracing, logging, and performance monitoring
• Familiarity with API testing and authentication flows across service layers

Benefits

• Initial 6 month contract opportunity with the option to extend further
• Pay: $100.00 - $130.00 per hour

Responsibilities

• Lead the pod’s day-to-day development and technical decisions
• Translate product objectives into implementation plans and sprint goals
• Directly manage developers and AI engineers
• Leadership & Collaboration Expectations
• Ability and willingness to collaborate with global based Engagement Lead on a daily basis supporting the discovery phase of initiatives
• Lead technical design decisions and resolve blockers across pods
• Manage code reviews, shared modules, and ensure engineering consistency
• Drive agile development practices including sprint planning, backlog grooming, and velocity tracking
• Foster a culture of growth mindset, technical excellence, encouraging experimentation, learning from failure, and continuous improvement
• Support onboarding and mentoring of developers and AI engineers
• Engage with business stakeholders when needed (Inform Engagement Lead)
• Communication & Stakeholder Engagement Expectations
• Work closely with the Technical Chapter Lead and Engagement Lead to align technical decisions with the AI platform strategy, business goals, and cross-team dependencies
• Represent the pod in technical forums, showcases, and architecture reviews
• Communicate risks, trade-offs, and technical constraints clearly to non-technical stakeholders
• Ensure timely updates to the Engagement Lead on technical decisions and stakeholder conversations

Full Description

Focus Areas:

• Very strong AWS full-stack dveloper / engineer (tech lead) required.

• Python, AWS Full stack developer essential.

• AI experience is essential and requires current experience working with AI.

• Lead the pod’s day-to-day development and technical decisions.

• Translate product objectives into implementation plans and sprint goals.

• Directly manage developers and AI engineers.

Leadership & Collaboration Expectations

• Ability and willingness to collaborate with global based Engagement Lead on a daily basis supporting the discovery phase of initiatives.

• Lead technical design decisions and resolve blockers across pods.

• Manage code reviews, shared modules, and ensure engineering consistency.

• Drive agile development practices including sprint planning, backlog grooming, and velocity tracking.

• Foster a culture of growth mindset, technical excellence, encouraging experimentation, learning from failure, and continuous improvement.

• Support onboarding and mentoring of developers and AI engineers.

• Engage with business stakeholders when needed (Inform Engagement Lead).

Communication & Stakeholder Engagement Expectations

• Work closely with the Technical Chapter Lead and Engagement Lead to align technical decisions with the AI platform strategy, business goals, and cross-team dependencies.

• Represent the pod in technical forums, showcases, and architecture reviews.

• Communicate risks, trade-offs, and technical constraints clearly to non-technical stakeholders.

• Ensure timely updates to the Engagement Lead on technical decisions and stakeholder conversations.

Technical Skills

Engineering & Architecture

• Strong experience with cloud-native development, including secure handling of secrets, environment variables, and service configurations.

• Proficiency in CI/CD pipelines for AI systems and microservices.

• Familiarity with team-based access control, code ownership, and repository governance.

• Skilled in modern programming languages and infrastructure-as-code practices.

• Ability to manage API specifications and service integrations across platforms.

• Experience agile software development.

AI & Agentic Systems

• Experience designing and deploying conversational agents and multi-agent systems.

• Capable of orchestrating agent workflows, managing context, and integrating external data sources.

• Understanding of retrieval-augmented generation (RAG) patterns and scalable inference strategies.

• Comfortable evaluating trade-offs between deployment models (e.g. serverless vs. containerised).

Security & Compliance

• Awareness of enterprise data privacy and cybersecurity standards.

• Responsible handling of user interactions and logs, with clear boundaries for data retention and observability.

Tooling & Observability

• Use of observability tools for tracing, logging, and performance monitoring.

• Familiarity with API testing and authentication flows across service layers.

Initial 6 month contract opportunity with the option to extend further.

Based in Houston, working onsite and also remote.

Job Type: Contract

Pay: $100.00 - $130.00 per hour

Work Location: Hybrid remote in Houston, TX 77056