FDE AI/ Solutions Architect (AI, Python/Data)

North Macedonia | Sept. 2, 2026

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Company: Provectus

Country: North Macedonia

Type: Onsite

Employment: Full Time

Description:

Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.

Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.

Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.

Where this role sits

You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:

• Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
• Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.  

What You’ll Do:

Take the seat

• Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.

• Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.

Build

• Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases

• Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.

• Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. 

• Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.

• Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.

• Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.

Own the outcome. 

• Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.

• Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.

• Be credible with the customer’s engineers and their executives. 

• Shape what we commit to before we commit to it. 

What You’ll Bring:

Mindset

• Proactive and self-directed; identify problems before they're handed to you

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

• B2+ English, comfortable collaborating across distributed, multicultural teams

Client Engagement

• You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code

• Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them

• You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run

Technical depth

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