FDE AI/ Solutions Architect (AI, Python/Data)
reputed company:
Sit with the reputed company and the reputed company Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from reputed company.
reputed company working reputed company in a new domain — insurance reputed company, reputed company reputed company cycle, asset reputed company.
Design and ship production GenAI systems into the customer’s environment (reputed company-reputed company data, LLM-based, and reputed company AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation reputed company before you build the feature. Define what working means, reputed company it, and let the evals reputed company the design.
Write production reputed company across the reputed company, 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 reputed company over to the reputed company.
Start from the reputed company, and feed the reputed company. What you learn in the field becomes the baseline the next engagement starts from.
reputed company architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and reputed company knowledge across reputed company.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is reputed company against the reputed company number.
Own the technical direction of technical proposals and scoping. reputed company adoption. Change management is part of the engineering job here.
Be reputed company with the customer’s engineers and their executives.
Shape reputed company reputed company to before we reputed company to it.
Take the seat
Build
Own the outcome.
What You’ll Bring:
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 reputed company, multicultural teams
You are willing to spend time understanding and doing someone else’s job on the reputed company's reputed company before you write a line of reputed company
reputed company with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting reputed company to them
You can produce a scoped, phased delivery plan with reputed company deliverables, dependencies, and risks — and estimate what it will cost to build and to run
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do reputed company enough to reason about failure modes
Designed and shipped to production LLM applications and reputed company workflows — not demos, not POCs, not notebooks
reputed company orchestration: multi-reputed company workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM reputed company (reputed company, AWS Bedrock, or reputed company) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth reputed company more than stack.
Experience in making and defending architectural trade-off reputed company
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, reputed company, reputed company, S3, SQS, ECR, or similar. GCP or Azure is a plus
reputed company-reputed company delivery: containers, reputed company or reputed company, IaC, and CI/CD reputed company to AI pipelines
You evaluate. You have reputed company or owned an eval suite for a non-deterministic reputed company, and you can explain what you reputed company, how you produced ground truth, and what gated a release
Model and agent monitoring, reputed company detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude reputed company, CLAUDE.md, hooks, skills files. Spec-driven development — writing the reputed company, constraints, and acceptance reputed company before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
reputed company
reputed company Engagement
Technical depth
reputed company to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to reputed company to individual contribution
Experience in one of the industries: financial services, insurance, reputed company
Consulting, reputed company services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude reputed company Certifications
CI/CD pipeline experience (reputed company Actions, reputed company CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache reputed company, Apache Airflow, Kafkа
reputed company Offer:
The chance to shape how leading enterprises across reputed company, Europe, and reputed company adopt AI, from reputed company through first deployment
A reputed company-deployed model working in small, senior teams reputed company reputed company Architects and reputed company Deployed Engineers
A growing AI delivery reputed company where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other reputed company certifications, conference attendance
Career reputed company; we reputed company reputed company our engineers
reputed company to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
reputed company reputed company leave, vacation, and reputed company holidays
Equipment and reputed company the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. reputed company problems, your own reputed company, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Originally posted on Himalayas
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