--- title: 'Senior Solutions Architect | Python and GenAI at Provectus' canonical: 'https://feeny.ai/job/senior-solutions-architect-python-and-genai-provectus-serbia-jcq2w3x46qy7' type: 'job' last_seen: '2026-09-10' --- # Senior Solutions Architect | Python and GenAI at Provectus - **Company:** Provectus - **Location:** Serbia - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-07-31 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.lever.co/provectus/94887253-603b-444d-8d20-9c6d7d547b8f ## Job description Provectus is a consulting and professional services firm with a focus on AI/ML based solutions. Provectus is an AWS Premier Partner and an Anthropic partner, helping enterprise clients move from AI experimentation to AI running in production. We are changing how we deliver. Instead of handing a client a design and waiting for someone else to build it, our engineers embed directly inside the client's team and ship the system themselves. We call this Forward Deployed delivery. Before you design anything, you spend real time with the people who do the work the system is meant to change, so the architecture reflects how the work actually happens, not how a requirements document described it. We are looking for a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience who wants to work this way: deep in the code, close to the client, and directly accountable for whether the system gets used. Direct client communication sits at the center of this role. Prior presales experience is a strong plus. What You Will Do: - Embed with the client team for the length of the engagement, working inside their environment rather than alongside it from a distance - Spend time with the people who do the job the system is meant to change before you design anything, so the architecture is grounded in how the work actually happens - Write clean, production grade Python across AI integrations, backend services, and RESTful APIs (Flask, Django, or FastAPI) - Design, build, and optimize RAG systems and agentic AI solutions running in production, not demos or notebooks - Own system design and architectural decisions across the engagement: microservices vs monolith, sync vs event driven, SQL vs NoSQL - Own the technical direction of the engagement from discovery through delivery - Act as the client's direct technical point of contact: present architecture, defend trade offs, and push back on scope when it does not match timeline or budget - Support presales activities where relevant, including discovery calls, technical proposals, scoping, and client facing demos - Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice - Feed what you learn back into Provectus's blueprint library, so the next engagement starts further ahead - Mentor engineers, lead code reviews, and share knowledge across the team What You Will Bring: - 7+ years building and running production systems; hands on production experience is required, demo only or POC only backgrounds will not be considered - Production experience with RAG systems and LLM based agentic workflows that are live and running, not prototypes - Backend development experience with Flask, Django REST, or FastAPI - Recent, hands on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered - Experience with LLM APIs (OpenAI, Anthropic Claude, or AWS Bedrock) - Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization - Demonstrated experience making and defending system design and architectural trade off decisions - Comfortable owning direct communication with client stakeholders, without a project manager relaying the conversation - Genuine willingness to spend time close to the people who do the job before you design a system to change it, and comfort with an engagement that starts underspecified by design - Strong testing practices: pytest, mocking, and integration tests for AI systems - ## Experience with Docker and Kubernetes - Understanding of LLM evaluation techniques and quality assurance approaches - Experience deploying and maintaining AI/ML models in production environments - Already using AI assisted development tools in your daily workflow (Claude Code, Copilot, or similar) - Proactive and self directed; you own outcomes end to end and spot problems before they are handed to you - B2+ English, comfortable collaborating across distributed, multicultural teams Nice to Have: - Exposure to Financial Services or Healthcare and Life Sciences, our two primary practice verticals - Presales experience: cost estimation, cloud architecture cost optimization, scoped and phased delivery plans - Prior consulting, professional services, or other embedded client facing delivery - ## Experience with React or Vue - AWS or Claude Code certifications - Experience with Streamlit or Gradio for AI prototyping - Modern Python tooling (ruff, uv, pyproject.toml, pyright) - CI/CD pipeline experience (GitHub Actions, GitLab CI) - Experience in an additional language (Go, Node.js, or Rust) What We Offer: - Remote-friendly culture - Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance - Career growth; we actively develop our engineers - Access to the latest AI tools and premium subscriptions - Long-term B2B collaboration - Private medical insurance or a budget for your medical needs - Paid sick leave, vacation, and public holidays - Equipment and all the tech you need for comfortable, productive work ## About Provectus ## Company Overview - **One-liner**: Provectus is a privately-owned AI consultancy and solutions provider that designs, builds, and ships production-grade AI systems for enterprise clients, with deep domain expertise in Financial Services and Healthcare & Life Sciences. - **Entity Type**: Private (Privately owned, bootstrapped/growth funded; no public funding rounds disclosed) - **Headquarters**: Palo Alto, California, USA - **Founded**: 2010 - **Founders**: Founders-led (names not publicly listed on the provided sources) ## Core Business - Primary industry/industries: Artificial Intelligence consultancy, Cloud transformation (AWS), Data engineering, Machine Learning, Healthcare & Life Sciences, Financial Services - Target customers: Enterprise (B2B), C-suite leaders, FSI and HCLS organizations - Mission or purpose statement: “We design and build AI solutions for industry-specific use cases, leveraging our expertise in data, machine learning, and cloud. We use Computer Vision, Natural Language Processing, and Anomaly Detection technologies to empower our clients and drive innovation.” [careers.provectus.com](https://careers.provectus.com/) ## Products & Services - **Production AI Systems**: End-to-end design, implementation, and deployment of AI systems tailored to Financial Services and Healthcare & Life Sciences. Includes pre-built pattern libraries and playbooks. - **Agentic Executive Program**: A private, hands-on full-day immersive lab for C-suite leaders to build with AI – “No slides, no demos. You build.” - **FSI + HCLS Blueprint Activation**: Five production-tested AI systems for FSI and HCLS that are activated on the client’s data and systems. - **Agentic SDLC**: AI software engineering at production grade, co-delivered with Anthropic (select partner). - **Data Platform Engineering**: Data Lakes, Data Warehouses, Data Mesh, Data Vault, database migration, Infrastructure as Code, GitOps on AWS. [careers.provectus.com/data-team](https://careers.provectus.com/data-team/) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metri**: >400 AI builders (employees) and 100+ customers in production (as of 2026) - **Notable Investors/Partners**: AWS Premier Consulting Partner (Strategic Collaboration Agreement), Anthopic Select Partner (Inaugural Cohort) - **Growth Signals**: 15+ yeas in market; recent expansion into Agentic SDLC with Anthropic; explicitly hiring Forward Deployed Engineers, Principal ML Engineers, Solution Architects; hybrid work model; active open source contributions. ## Competitive Advantages - **Two-industry focus**: Domain expertise in Financial Services and Healthcare & Life Sciences, not generalist. - **Outcome-baed pricing**: Engagements are milestone-priced (Sprint, Enable) and outcome-priced (Realize phase) – fees track delivered outcomes. - **Full IP transfer**: No proprietary tooling, no lock-in, complete code and architecture handoff. - **Certifications**: ISO 27001 and SOC 2 complian. - **Open source contributions**: Active involvement in Apache Spark, Apache Kafka, Presto etc. ## Strategic Focus - Current priorities: Scaling the Agentic SDLC offering co-delivered with Anthopic; deepening industry-specific playbooks for FSI and HCLS; expanding the Forward Deployed team model; maintaining engineering-led culture with domain experts writing code. ## Why Work Here - **Culture highlights**: “Everyone is heard”; inclusive culture; opportunity to work on AI that impacts “entire future of humanity” (e.g., AI for curing eye diseases, safer factories). [careers.provectus.com](https://careers.provectus.com/) - **Work model**: **Hybrid** – remote and/or office; flexible hours. - **Perks**: Education & certification coverage, internal knowledge sharing events, excellent employee benefit programs. - **Engineering culture**: Emphasis on builders who “wite code, review architectures, and ship systems”; contributions to open source; opportunity to work with cutting-edge technologies (AWS, GCP, Anthropic). ## Sources 1. [provectus.com](https://provectus.com/) 2. [careers.provectus.com](https://careers.provectus.com/) 3. [builtin.com](https://builtin.com/company/provectus) 4. [careers.provectus.com/data-team](https://careers.provectus.com/data-team/) ## Other roles at Provectus - [Junior AI/ML Engineer (GenAI, AWS)](https://feeny.ai/job/junior-ai-ml-engineer-genai-aws-provectus-ukraine-3v81mpfjv5pv) — Ukraine - [Associate Business Development & Partnerships Manager](https://feeny.ai/job/associate-business-development-partnerships-manager-provectus-manhattan-ktj10322h9yc) — Manhattan, NY - [Associate Business Development & Partnerships Manager](https://feeny.ai/job/associate-business-development-partnerships-manager-provectus-new-york-z63mdf2mw9ry) — New York, NY - [Associate Go to Market (GTM) Partnerships & Alliances Manager – AI Consulting Solutions (AWS, Anthropic partner)](https://feeny.ai/job/associate-go-to-market-gtm-partnerships-alliances-manager-ai-consulting-wg5xh8ycg4wp) — New York, NY - [Associate Go to Market (GTM) Partnerships & Alliances Manager – AI Consulting Solutions (AWS, Anthropic partner)](https://feeny.ai/job/associate-go-to-market-gtm-partnerships-alliances-manager-ai-consulting-pzg16ed5syhp) — Philadelphia, PA - [Associate Business Development & Partnerships Manager](https://feeny.ai/job/associate-business-development-partnerships-manager-provectus-philadelphia-8ncs0ynd0yq9) — Philadelphia, PA - [Alliances Team Lead](https://feeny.ai/job/alliances-team-lead-provectus-new-york-rerhw7vknt1e) — New York, NY - [Alliances Team Lead](https://feeny.ai/job/alliances-team-lead-provectus-philadelphia-b5w6rfjyvye7) — Philadelphia, PA - [AI Marketing Engineer](https://feeny.ai/job/ai-marketing-engineer-provectus-new-york-0cp7hve220nw) — New York, NY - [Alliance/ Partnership Operations Analyst](https://feeny.ai/job/alliance-partnership-operations-analyst-provectus-medellin-5aczzv7j4gh1) — Medellín, Colombia