Overview
On Site
Hybrid
Depends on Experience
Contract - W2
Contract - 2 Year(s)
No Travel Required
Unable to Provide Sponsorship
Skills
Generative Artificial Intelligence (AI)
Continuous Delivery
API
API QA
Artificial Intelligence
Data Science
Machine Learning (ML)
GenAI
AIEngineering
TechnicalLead
EngineeringLead
AIArchitect
TechLead
Cyber Security
Job Details
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
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