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Embed with customers to learn and redesign critical workflows, then build and ship production GenAI/LLM systems on AWS. Own evaluation, deployment, and operational reliability, collaborate with senior stakeholders, and drive measurable business outcomes using Provectus blueprints and agentic tooling.

Embed inside client operations, learn operator workflows, and rebuild processes from first principles. Design, implement, and ship production GenAI/LLM systems on AWS, build eval suites for nondeterministic models, and own technical outcomes while collaborating with senior stakeholders.

Embed with client operators, learn and rebuild critical business processes, and deliver production GenAI/LLM systems on AWS. Own design, shipping, evaluation, and operational handoff while working cross-functionally with senior stakeholders to move business metrics.

Embed with customers to learn and rebuild critical business functions, then design and ship production GenAI/LLM systems on AWS. Own delivery end-to-end: operator immersion, design, implementation, evaluation, and stakeholder alignment while remaining hands-on in code and cloud-native ops.

Own full-cycle recruiting for FDE and FDX technical roles across the US, source passive AI/ML and software engineering talent, build talent communities and events, manage pipelines and offers, and partner on workforce planning and candidate experience.

Design, build, and improve ML models and production pipelines; collaborate with engineers, data scientists, and PMs; develop experimentation roadmaps; set up reproducible environments; monitor and maintain production models; document models and processes; propose and apply new AI/ML solutions.

The ML Tech Lead will guide the ML engineering team in technical decisions and mentorship, ensuring code quality and facilitating growth in ML competencies while maintaining hands-on coding involvement.

The role involves creating and improving ML models, collaborating with teams, developing experimentation roadmaps, and ensuring optimal performance of production models.

Design, develop, and deploy machine learning solutions iteratively, mentor junior engineers, and build ML accelerators for Provectus clients.

As an AI/ML Solutions Architect, lead pre-sales discussions, design ML architectures, ensure client satisfaction, and guide technical teams while collaborating on ML solutions.