AI Software Architect / Developer
RemotePrincipalNAInsuranceHealthcareCloud ComputingSoftware ArchitectAI EngineerAWSAzureDockerKubernetes.NET
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Requirements
- At least 12 years of software development experience (.NET/C# or JAVA) with a strong focus on architecture
- 2+ years hands-on experience building applications using LLMs (GPT, Claude, LLaMA etc) or GenAI frameworks (LangChain, LlamaIndex etc) and using RAG techniques to enhance LLMs.
- Proven track record building and scaling high-transaction SaaS platforms, ensuring performance, reliability, and security in mission-critical environments.
- Demonstrable experience using proprietary data for fine tuning, prompt orchestrations, search, retraining and monitoring model outputs.
- Demonstrable experience in evaluating mode performance using thorough quantitative and qualitative benchmarks, including hallucination detection, latency and prompt quality.
- Experience developing AI assisted solutions in the Healthcare industry along with awareness of ethical AI practices within healthcare industry, including data privacy and de-identification is a strong plus.
- Solid understanding of RESTful APIs, backend development in a high transaction volume application.
- Proficiency in cloud platforms (Azure or AWS) and containerization (Docker/Kubernetes).
- Experience with microservices architecture, event-driven design, and serverless computing.
- Expertise in database design with Relational and NoSQL Databases.
- Hands-on experience with Azure DevOps, Git, and CI/CD pipelines.
- Strong understanding of security best practices, authentication mechanisms (OAuth, JWT, OpenID Connect).
- Deep expertise in enterprise performance architecture, caching layers, latency optimization, and failover strategies for mission-critical systems.
- Led Agile at scale (SAFe, or squad model); partnered with PM/TPMs to align sprint planning to strategic tech investments
- Excellent executive communication skills, with the ability to influence diverse stakeholders and translate advanced technical topics into business outcomes.
- Proven ability to collaborate across cross-functional teams including Engineering, Product, Cloud Ops, and Executive stakeholders to drive AI-enabled transformation; experience in leading through influence, creating alignment across teams without direct authority by building credibility, communicating vision, and unblocking friction points.
- Adept at influencing architectural and product decisions at the leadership level by framing trade-offs, navigating ambiguity, and aligning technical direction with organizational priorities, particularly at the intersection of technical complexity and strategic business impact.
Responsibilities
- Serve as a cross-functional AI thought partner, driving the strategic roadmap in partnership with Product, Engineering, and Executive leadership. Align AI innovation with company-level objectives and outcomes.
- Lead technical and strategic evaluation of AI opportunities, framing and executing POCs/POTs with clear business cases, conceptual models, and measurable impact
- Set technical vision and architectural guardrails for AI/GenAI systems, ensuring alignment with scalability, compliance, and long-term platform strategy.
- Provide architectural leadership, set up best practices and enable the engineering team to leverage AI to improve productivity.
- Act as principal-level SME, architecting AI/ML adoption across product teams. Shape internal standards, advise on build vs. buy decisions, and mentor senior developers.
- Act as subject matter expert enabling multiple engineering teams to adopt AI-enhanced workflows. Provide architectural leadership and mentorship to embed AI best practices.
- Lead competitive AI landscape scanning, synthesizing emerging research and tooling into actionable guidance for engineering leadership and product strategy
- Lead technical discussions and make critical architectural decisions.
- Ensure adherence to SOLID principles, design patterns, microservices architecture, and domain-driven design (DDD).
- Develop proof-of-concepts to evaluate new technologies and frameworks.
- Drive best practices in CI/CD, DevOps, and cloud deployment strategies.
- Guide development teams in adopting modern AI assisted development technologies
Benefits
- 🌍Remote work environment with a flexible work schedule to encourage work-life balance
- ✈Annual company offsite
- 🌴Generous leave package including flexible time off policy that encourages team members to take time off to relax and recharge; plus 13 paid holidays, paid sick leave, and paid parental leave
- 💙 Medical, dental, and vision insurance for you and your family, plus a company funded FSA & HSA (dependent on which medical plan you choose)
- 💰401(k) company match
- 💸One-time workspace reimbursement to help you optimize your remote workspace
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