AI Developer, SA

AI Developer Who we are looking forThe AI Engineer will play a key role in advancing AI-enabled capabilities across the Charles River Investment Management Solution and Alpha Platform. This individual will design, build, and scale production-grade AI systems, including copilots, agentic workflows, and automation services embedded directly into investment management processes.

To be successful, the candidate must be a hands-on engineer with strong experience in LLMs, AI orchestration, and distributed systems, capable of translating emerging AI patterns (e.g., RAG, agent frameworks, MCP integration) into secure, scalable enterprise solutions. This role requires close collaboration with product owners, architects, and domain teams to operationalize AI across client-facing and internal workflows.

Why this role is important to us Enables Scalable AI Adoption:
Builds reusable platforms and services that allow product teams to rapidly integrate AI without fragmentation

Drives Business Impact:
Embeds AI into front-to-back workflows, improving productivity, automation, and decision-making for clients

Bridges Innovation and Production:
Converts emerging AI technologies into secure, governed, production-ready capabilities

Accelerates Time-to-Market:
Enables faster delivery of high-value AI use cases through standard architecture and tooling

What you will be responsible for Design, develop, and deploy AI-powered services, including copilots, agent-based workflows, and automation tools

Build and integrate LLM-based solutions using orchestration frameworks and tool-calling patterns

Implement RAG pipelines using enterprise data sources and vector databases

Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling

Embed AI capabilities into core CRD and Alpha workflows across front, middle, and back-office processes

Build reusable AI enablement platforms, SDKs, and shared services for product teams

Integrate AI services with cloud platforms and enterprise systems

Expose AI capabilities through API Management layers and event-driven architectures

Ensure performance, scalability, and reliability of AI systems in production environments

Implement monitoring, evaluation, and observability for AI models and pipelines

Apply responsible AI practices (security, explainability, compliance, governance)
Collaborate with product, architecture, data science, and UX teams to deliver end-to-end solutions

Participate in agile development processes including sprint planning, code reviews, and retrospectives

What we value

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 Type Script)

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

Education &

Preferred Qualifications B.S. or M.S. in Computer Science, Engineering, Mathematics, or related field2–5+ 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)
Preferred:

Experience in investment management, trading systems, or financial data platforms

Experience with AI agent frameworks, MCP servers, or advanced orchestration patterns

Experience working within Agile/Scrum teams following modern…