Jobs at Provectus

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.

Lead the development of Python services and Generative AI solutions, while mentoring engineers and managing client engagements from discovery to delivery.

The Senior ML Engineer will create and improve ML models, collaborate with teams, monitor models in production, and maintain documentation.

The AI Enablement Lead facilitates AI adoption in enterprises, delivering training programs, coaching sessions, and developing curriculum while engaging closely with customer leadership.

Design and implement ML solutions, build scalable pipelines, mentor engineers, collaborate on projects, and contribute to ML practices. Stay updated on ML research and propose improvements.

The role involves technical leadership, mentorship, and hands-on work in machine learning projects, ensuring architectural soundness, mentoring engineers, and advanced coding practices.

Hunter-oriented B2B sales role to source, qualify, and close consulting and technology services opportunities across North America. Build pipeline, conduct outbound outreach, coordinate discovery, negotiate deals, and travel (~40%) for client meetings and events.

Hunter-oriented B2B sales role to source, qualify, and close consulting and technology services opportunities across North America. Build pipeline, perform outbound outreach, coordinate discovery, partner with leadership, and attend events (40% travel).

Client-facing ML Solutions Architect leading pre-sales, discovery, and design of production-grade ML and agentic AI architectures on AWS. Architect agentic/LLM systems, build POCs, author proposals, advise on build-vs-buy and AgentOps, and mentor delivery teams while ensuring security, cost optimization, and scalable MLOps practices.

Lead design and delivery of production LLM-based and agentic AI solutions using Python, cloud and RAG systems. Own technical direction, presales, architecture, mentoring, and client relationships across discovery to deployment.

The role involves designing and implementing Python services and AI solutions, leading technical engagements, and mentoring engineers. Responsibilities include production-level coding, architecture decisions, and client interaction.