Forward-Deployed AI Engineering Specialist (Hybrid)

Job description

We are seeking a passionate, collaborative senior GenAI professional to help shape how Generative AI is applied across financial and business workflows. This is a high-visibility opportunity to work at the intersection of markets, data, software engineering, and applied AI - building tools that go beyond prototypes and deliver measurable business impact.

What you’ll do in the role:

• Translate business, data, and workflow problems into structured solutions and drive delivery end to end.
• Design, build, and deploy AI-powered applications, models, dashboards, and automation tools.
• Partner with trading, sales, risk, finance, operations, and technology teams to identify priorities and deliver measurable impact.
• Apply strong engineering discipline, including testing, version control, monitoring, and iteration based on feedback and usage.
• Communicate technical concepts and analytical findings clearly to both technical and non-technical stakeholders.

What you’ll bring to the role:

• At least 6 years of experience in technical roles developing software.
• Senior level judgment, ownership, and the ability to independently lead workstreams from problem framing through delivery.
• Strong communication skills and comfort working across business and technology teams.
• Strong Python skills, familiarity with the data science stack, and solid software engineering fundamentals.
• Experience with Generative AI / LLMs, including prompt design, evaluation, retrieval or tool use, and application development.
• Familiarity with SQL, APIs, and structured or time-series data.
• A portfolio of projects, prototypes, published work, or open-source contributions that demonstrate how you frame problems and build solutions; GitHub repositories and public examples are encouraged.

Preferred Background:

• Experience in financial services or the ability to quickly learn financial products, market structure, and business workflows.
• Exposure to fixed income, rates, derivatives, pricing, trade lifecycle, or control-oriented workflows is a plus.
• Quantitative background in computer science, engineering, mathematics, statistics, physics, or a related field.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

Pay Transparency

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