Sr. AI Developer, VP
$120,000–$202,500 year
On-siteBurlington, Massachusetts, United States
Job Summary
Design, develop, and deploy production-grade AI services including copilots, agent-based workflows, and automation tools embedded within investment management processes. Build and integrate LLM solutions using orchestration frameworks, implement RAG pipelines with enterprise data sources, and develop multi-agent systems via MCP servers and APIs. Embed AI capabilities into core CRD and Alpha workflows across front, middle, and back-office functions while exposing services through API Management layers and event-driven architectures. Ensure system performance, scalability, and reliability by applying responsible AI practices for security, explainability, and compliance. Collaborate with product, architecture, and domain teams to operationalize AI across client-facing and internal workflows.
Required Qualifications
- Strong expertise in LLMs, prompt engineering, and AI system design
- Experience building AI copilots, conversational interfaces, or agent-based systems
- Hands-on experience with RAG architectures, embeddings, and vector databases
- Familiarity with MCP frameworks, tool-calling patterns, and agent orchestration
- Experience with cloud-native AI services (Azure preferred) and distributed architectures
- Proficiency in Python and at least one additional language (Java, C#, or TypeScript)
- Experience with API-driven architectures, microservices, and event streaming (Kafka, Event Hub)
- Knowledge of distributed caching (Redis, Hazelcast) and performance optimization patterns
- Strong software engineering fundamentals: testing, CI/CD, code quality, and design patterns
- Familiarity with AI governance, model risk management, and security best practices
- Ability to work across strategic and hands-on engineering tasks
- Strong collaboration and communication skills in cross-functional environments
- B.S. or M.S. in Computer Science, Engineering, Mathematics, or related field
- 5-8+ years of software engineering experience, with a focus on building scalable systems
- Experience delivering AI/ML-powered applications into production
- Strong understanding of modern AI architectures (LLMs, RAG, APIs, orchestration layers)
- Experience working with cloud platforms (Azure, AWS, or GCP)
- Experience working within Agile/Scrum teams following modern SDLC practices, including secure coding standards, CI/CD
Desired Qualifications
- Experience in investment management, trading systems, or financial data platforms
- Experience with AI agent frameworks, MCP servers, or advanced orchestration patterns
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