Python
Dockerš Why join Bound AI (OIP Insurtech)?
We build real-world AI workflows that transform insurance operationsāfrom underwriting to policy issuance. Youāll join a fast-growing, global team of engineers and innovators tackling the toughest problems in document intelligence and agent orchestration. We move fast, ship impact, and value autonomy over bureaucracy.
š§ What You'll Be Doing
- Design and deliver endātoāend AI solutions: from intake of SOVs, loss runs, and documents to deployed intelligent agent workflows.
- Collaborate closely with stakeholders (product, operations, engineering) to architect scalable ML & GenAI systems that solve real insurance challenges.
- Translate business needs into architecture diagrams, data flows, and system integrations.
- Choose and integrate components such as RAG pipelines, LLM orchestration (LangChain, DSPy), vector databases, and MLOps tooling.
- Oversee technical proof-of-concepts, pilot projects, and production rollout strategies.
- Establish governance and best practices for model lifecycle, monitoring, error handling, and versioning.
- Act as a trusted advisor and technical leaderāmentor engineers and evangelize design principles across teams.
šÆ What Weāre Looking For
- 6+ years of experience delivering technical solutions in machine learning, AI engineering or solution architecture.
- Proven track record leading design, deployment, and integration of GenAI-based systems (LLM tuning, RAG, multi-agent orchestration).
- Fluency with Python production code, cloud platforms (AWS, GCP, Azure), and container orchestration tools.
- Excellent communication skillsāable to bridge technical strategy and business outcomes with clarity.
- Startup mindsetāresourceful, proactive, and handsāon when needed.
- Bonus: experience with insurance-specific workflows or document intelligence domains (SOVs, loss runs, ACORD forms).
š ļø Core Skills & Tools
- Foundation models, LLM pipelines, and vector-based retrieval (embedding search, RAG).
- Architecture modeling and integration: APIs, microservices, orchestration frameworks (LangChain, Haystack, DSPy).
- MLOps: CI/CD for models, monitoring, feedback loops, and retraining pipelines.
- Data engineering: preprocessing, structured/unstructured data integration, pipelines.
- Infrastructure: Kubernetes, Docker, cloud deployment, serverless components.
š Why This Role Matters
As an AI Solution Architect, youāll shape the blueprint for how AI transforms insurance workflowsāaligning product strategy, operational impact, and technical scalability. You're not just writing code; youāre orchestrating systems that make labor-intensive processes smarter, faster, and more transparent.
Shubham Vishwakarma
Full Stack Developer - Averlon
About OIP Insurtech
About
OIP Insurtech streamlines insurance operations and optimizes workflows by combining deep industry knowledge with advanced technology. Established in 2012, OIP InsurTech partners with carriers, MGAs, program managers, and TPAs in the US, Canada, and Europe, especially the UK.
With 1,200 professionals serving over 100 clients, we deliver insurance process automation, custom software development, high-quality underwriting services, and skilled tech staff to augment our clients.
While saving time and money is the immediate win, the real game-changer is giving our clients the freedom to grow their books, run their businesses, and focus on what they love. Weāre proud to support them on this journey and make a positive impact on the industry!
Tech stack
Python
Data Science
Machine Learning (ML)Candid answers by the company
Our robotics team has all graduated from our insurance boot camp. They code insurance for a living and bring with them best practices from more than 80 different systems across the insurance ecosystem.
Theyāve seen what works for E&S businesses ā theyāve built them. And they know what it takes to help your team deliver the better result.
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