Senior Forward Deployed AI Architect (GenAI, AWS)

United StatesRemoteFull-timesenior

OtherForwardArchitectForward Deployed Ai EngineerConstruction & Real Estate

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Quick Summary

Overview

We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics,

Technical Tools

OtherForwardArchitectForward Deployed Ai EngineerConstruction & Real Estate

We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.

Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous. You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name

Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it

Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously

You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it

Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare

Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice

Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way

Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly

Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works

You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why

Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack

Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits

Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room

Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job

Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)

Nice to Have

~1 min read

Containers and orchestration (Kubernetes/ECS) and CI/CD in production

IaC depth: AWS CDK, CloudFormation, Terraform

Open-source contributions or public writing on applied AI

Full-time employment

On-site visits to clients’ facilities and our office in NYC 1/week

Unlimited Vacation policy

Generous health, vision, and dental insurance

401(K) matching plan

Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data

No Visa sponsorship

Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.

4. Soft skills interview.

5. Offer discussion.

A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team

We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates

You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO

Location & Eligibility

Where is the job

United States

Remote within one country

Who can apply

About this job

Pay per year: $200,000–$250,000 a year; 29% above the $175,000 median for Architect jobs on Jobera (841 salaries).
Who can apply: United States
Posted: 103 days ago
Employer: has 42 open jobs on Jobera in 8 countries.