GenAI Architect

We are Jakala — a data, AI and experience agency. Our team builds production-grade web applications and applied AI systems for enterprise clients in the healthcare and life sciences space. The work spans multi-agent LLM pipelines, retrieval-augmented generation, data connectors and the web applications that wrap them, delivered to clients who care deeply about accuracy, traceability and compliance. 

We are looking for a GenAI Architect who can own the full arc of an engagement: scoping and estimating new work in presales, designing the solution, and staying hands-on enough to help the delivery team build it well. 

What you'll do 

• Scope and estimate (presales). Turn client briefs into structured requirements, assumptions, risks, and dependencies. Produce work breakdowns and estimates, propose team composition, and present side-by-side platform or approach options when the client needs to make a choice. Defend the numbers to stakeholders and adjust them as the scope clarifies. 
• Design the solution. Architect GenAI applications end to end: multi-agent orchestration, RAG and semantic-search flows, data and document connectors, evaluation harnesses, audit trails, and the surrounding web application. Choose models, platforms and patterns deliberately, and write the reference architecture and decision memos that capture why. 
• Be the technical voice with clients. Translate effectively between business stakeholders and engineers, reflecting the client's specific vocabulary and making complex trade-offs clear: such as choosing between a thin-slice POC and an enterprise data foundation, lightweight orchestration versus heavyweight, or build-now versus design-for-later. 
• Stay hands-on in delivery. Set up the technical foundations, prototype the high-risk parts, review code, and unblock the team. Build proofs of concept quickly to validate feasibility and value before scaling. Keep the delivered system true to the design — especially the parts that matter most for accuracy and traceability. 

What we're looking for 

• Extensive experience designing and deploying production-quality software, with a proven track record in applied GenAI — delivering reliable systems, not just prototypes. 
• Real depth in LLM engineering: multi-agent orchestration, RAG, embeddings and vector search, graphs and ontologies, prompt-engineering patterns and — crucially — how you evaluate and measure an AI system rather than just demo it. 
• Strong full-stack foundations: Python or Node.js on the backend; React or Vue on the frontend; SQL, NoSQL and vector databases. 
• Cloud fluency across at least one major platform and a working understanding of the others — AWS/Bedrock, Cloudflare, GCP/Vertex AI, Azure/OpenAI — including the services that back AI workloads. 
• Demonstrated ability to estimate and scope non-trivial work: breaking a vague brief into requirements, sizing effort under uncertainty, and reasoning explicitly about risk and assumptions. 
• A client-ready communicator: you can run a scoping conversation, write a clear reference architecture or decision memo, and explain a trade-off to a non-technical stakeholder without losing the engineers in the room. 
• An ownership mindset and sound judgment — you care about the why as much as the how, and you size and design honestly even when an easier answer would be more convenient. 
• Fluent usage of AI-assisted development tools (Claude, Cursor, Copilot and the like) in your own workflow. 
• Passion for the AI industry and staying updated on industry insights and trends. 
• Advanced (C1) English or above, sufficient for direct client communication and technical leadership. 

Nice to have 

• Experience delivering into regulated or compliance-heavy domains — healthcare, life sciences, finance — where audit trails, data-handling constraints and traceability are first-class requirements. 
• Familiarity with observability & evaluation tooling and practices for LLM systems (accuracy baselines, eval harnesses, regression sets). 
• Infrastructure and delivery breadth: Terraform, Docker/containerisation, CI/CD. 
• Experience presenting estimates or proposals to enterprise clients and handling side-by-side vendor or platform comparisons. 
• Exposure to data-integration patterns: external APIs, scrapers, document ingestion, SharePoint and similar enterprise sources. 

What you’ll get  

• Competitive compensation based on experience and skills. 
• 20 working days of paid vacation plus paid sick leave. 
• Health insurance package. 
• Coverage for courses, certifications and tech conferences. 
• Fully remote working environment with flexible hours and reasonable overlap for collaboration. 
• Long-term, varied projects with real influence over technical and architectural decisions, in a collaborative team with minimal bureaucracy. 

About working at Jakala 
At Jakala, we value our talents and empower our people to express their full potential. People are at the heart of everything we do — a diverse, multifaceted blend of individuals with passion, ambition, and ideas for turning data into value. We give Jakalers a collaborative, supportive environment and the tools, opportunities, and benefits to maximize the impact of their work. 

"Together we get there" is our value proposition, because we believe that sharing our abilities is our strength. If this role matches your experience and interests, we'd be glad to hear from you.