AI Software Architect / Developer

DoseSpot • Boston, MA

21h • Remote

About The Position

We are seeking an AI Software Architect/Developer to join our dynamic team. The ideal candidate will play a key role in building out the AI initiatives program from the ground up. You will be part of a focused team with the mission to evaluate and build prototypes/solution frameworks for various business requirements - these range from new product features/enhancements, engineering team excellence assisted by AI and other improvements by leveraging 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.
• 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.
• 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.

Nice To Haves

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees