Embedded AI Architect: Production-Ready with Claude/AWS

Provectus; Oakland (CA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

On-site visits NYC

Unlimited vacation

Health, vision & dental insurance

401(k) matching

Job summary

Provectus seeks a senior software engineer to own production GenAI/LLM solutions in client environments. You’ll work embedded with customer teams, using Provectus blueprints and AWS-native tooling to drive real deployments in regulated industries such as financial services and healthcare.

You’ll collaborate with senior stakeholders, architect end-to-end solutions, and influence how clients adopt AI at scale, including build-and-run responsibilities and pre-sales engagement.

Qualifications

• 7+ years building software with production code you owned.
• Experience shipping GenAI/LLM systems to production.
• Ability to quickly understand unfamiliar business functions.
• Cloud-native delivery on AWS; GCP/Azure a plus.
• Pre-sales experience with senior stakeholders.

Responsibilities

• Learn constraints in the client’s environment and rebuild the function from first principles.
• Work as part of the customer’s team inside their process and own the method autonomously.
• Leverage Provectus blueprints as baseline for new engagements.
• Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
• Help shape how enterprises adopt AI from strategy to first deployment and build tooling.

Skills

Production code

GenAI/LLM in prod

Python

TypeScript

AWS Cloud

Pre-sales experience

Ambiguity ownership

Tools

Kubernetes

Terraform

CloudFormation

Claude

Job description

Provectus seeks a senior software engineer to own production GenAI/LLM solutions in client environments. You’ll work embedded with customer teams, using Provectus blueprints and AWS-native tooling to drive real deployments in regulated industries such as financial services and healthcare.

You’ll collaborate with senior stakeholders, architect end-to-end solutions, and influence how clients adopt AI at scale, including build-and-run responsibilities and pre-sales engagement.