Job Summary Senior AI Solutions Engineer (Morgan Stanley, NYC, NY)
Position Overview:
- Act as an AI-First Solutions Engineer to accelerate AI adoption across the organization
- Focus on moving AI projects from prototype to production and building reusable frameworks
- Build scalable, production-grade AI solutions for enterprise use
- Enable and mentor engineering teams for responsible and effective AI adoption
Key Responsibilities:
- Design and deliver production-ready AI-enabled applications using modern full-stack and cloud-native architectures
- Build reusable AI frameworks, reference implementations, and starter kits (including RAG, agent/workflow patterns)
- Integrate AI into enterprise platforms with strong engineering discipline (clean code, automation, observability)
- Apply AI to accelerate delivery, reduce friction, and scale solutions across teams
- Implement GenAI patterns (RAG, prompt/tool orchestration, agentic workflows) with robust guardrails
- Design model-agnostic solutions resilient to rapid changes in AI ecosystem
- Convert complex AI implementations into simple, repeatable patterns for broader adoption
- Mentor engineers and lead architecture/design reviews to improve quality and consistency
- Partner with stakeholders to define requirements and deliver shippable milestones
- Maintain DevOps best practices (CI/CD, automated testing, telemetry, monitoring) and drive continuous improvement
Required Skills:
- 6+ years in building and operating production full-stack systems at scale
- Strong hands-on experience with distributed, cloud-native architectures (APIs, data, event-driven systems)
- Strong system design, scalability, resiliency, security, and observability skills
- Proven experience building AI/GenAI-powered applications in production (not just POC)
- Applied GenAI expertise: RAG, LLM integration, prompt design, evaluation, and guardrails
- Proficiency in Java and/or Python with modern frameworks (Spring Boot, Python services)
- Experience with CI/CD, automated testing, and observability in production environments
- Excellent technical communication and mentoring abilities
Desired Skills:
- Public cloud experience (Azure preferred)
- Experience building internal platforms, frameworks, or developer tooling
- Familiarity with vector databases, embeddings, Kafka, or high-volume messaging systems
- Experience in regulated or financial services environments
- Experience with globally distributed engineering teams
Success Metrics:
- Number of teams unblocked and enabled
- Speed of AI solutions reaching production
- Breadth of adoption of platforms and frameworks built
Other Requirements:
- Local to NYC or nearby (for in-person interviews)
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- Valid Driver's License
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Summary:
This role is for a senior-level AI solutions engineer who will drive scalable and reusable AI adoption at Morgan Stanley by building frameworks, mentoring teams, and ensuring production-quality engineering practices with a strong focus on GenAI and full-stack, cloud-native systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91173025
- Position Id: 2026-97
- Posted 1 day ago
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