Greetings,
Hope you’re doing fine,
Role: Technical Lead - GenAI
Solutions
Location: Houston, TX (Onsite)
Client : TCS
JD:
Skill sets - Technical delivery and engineering execution of Gen AI
solutions (may include data science and automation aspects as well)
Focus Areas -- Lead the pod's day-to-day development & technical
discussions.
- Translate product/project requirements into technical solutions.
- Drive design decisions and mobile tech leads.
- Directly mentor developers & engineers.
- Partnership & Collaboration.
- Attend sprint planning with Tech Lead/Engineering Lead in staff-level
meetings supporting discovery phase of initiatives.
- Align with product managers on tech-based Engagement Lead in staff-level
meetings.
- Lead technical design decisions and mobile tech leads.
- Manage code reviews, handle modules, and ensure engineering consistency.
- Own delivery of features in a timely manner, partnering, and velocity
tracking.
- Drive A/B testing, drive quality, and drive velocity metrics.
- Foster a culture of growth mindset, technical excellence, strategic thinking,
learning from failure, and continuous improvement.
- Support onboarding and mentorship of Sdear 1 and Sdear 2 engineers.
- Engage with business stakeholders who need [sic] (Entire Engagement Level).
Communication & Stakeholder Engagement Expectations- Work closely with the
Tech Chapter Lead and Engagement Lead to align tech decisions with the AI
platform strategy, business plans, and cross-team dependencies.
- Represent the pod in technical forums, discussions, and architecture reviews.
- Ensure timely updates to the Engagement Lead on technical decisions and
stakeholder communications.
Technical Skills Engineering & Architecture- Strong expertise in
client-side development, including service handling of streams, environment
variables, and service configurations.
- Proficiency in GCDS guidelines for AI/ML and microservices.
- Familiarity with team-based access control, CI/CD, security, and regulatory
governance.
- Ability to manage API specifications and service integrations across
platforms.
AI & Agents Systems- Experience designing and developing conversational
agents and multi-agent systems.
- Capable of developing agent workflows, integrate systems, and handling
vertical data sources.
- Understanding of retrieval-augmented generation (RAG) patterns and enables
inference strategies.
- Understanding trade-offs between different models (e.g., services vs.
on-device).
Security & Compliance- Awareness of enterprise data privacy and
cybersecurity standards.
- Compliance understanding of user interactions and logs, with their boundaries
for data retention and observability.
Testing & Observability- Use of observability tools for tracing, logging,
and performance monitoring.
- Familiarity with API testing and authentication flows across service layers.
Thanks,
Suzzain