DoseSpot is seeking an AI Software Architect/Developer to build out AI initiatives from the ground up, evaluating and building prototypes/solution frameworks to improve product features, enhance engineering team excellence, and leverage AI within the broader technology organization.
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.
- 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.
- 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.
Responsibilities
- Serve as a cross-functional AI thought partner, driving the strategic roadmap in partnership with Product, Engineering, and Executive leadership.
- 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.
- Lead competitive AI landscape scanning, synthesizing emerging research and tooling into actionable guidance for engineering leadership and product strategy
Other
- Align AI innovation with company-level objectives and outcomes.
- 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.
- 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.
