AI Outcome Engineer | Financial Services

Job Description Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a AI Outcome Engineer | Financial Services to join our Client’s team.

General Traits

• Customer empathy: You think like an analyst, what inputs they trust, how they validate, how they make decisions
• Structured translator: You turn unstructured analyst thought processes into clear steps, logic, and evaluation criteria for engineers to implement
• Comfortable in ambiguity: You can make progress with imperfect information, navigate complex organisations, and bring structure where there isn’t any
• Proactive problem-solver: You anticipate issues before the client does
• Hustle & ownership: You take responsibility end-to-end and care deeply about outcomes
• Curious & fast learner: You quickly understand new workflows, industries, and agent capabilities. You can quickly test, evaluate, and integrate new AI capabilities into client workflows.
• Executive presence: You can credibly advise senior stakeholders and guide decisions. You can talk to customers in business language and translate into structured technical requirements.
• Commercial instinct: You naturally see where a workflow can extend to new teams or processes and can help shape that into a concrete opportunity.

Responsibilities You will own a portfolio of financial clients and become their go-to technical partner. You will work closely with Credit, Investment, Research, and Portfolio Monitoring teams to:

• Understand and map financial workflows end-to-end. Some examples are:
• “Automate quarterly credit reviews using borrower KPIs + news + filings”
• “Build investment screens that collapse hours of research into minutes”
• “Automate portfolio monitoring reports used by ICs”
• Sit deeply inside customer workflows, joining working sessions, shadowing analysts, and understanding decision-making so you can define KPIs, and ROI for workflow automation.
• Translate ambiguous analyst processes into clear, structured, multi-step agent workflows. You build the functioning prototypes for Product Engineers to scale.
• Own the correctness of the workflow: design the evaluation criteria, edge-case handling, error paths, and audit logic that engineers implement at scale
• Plan and manage multi-threaded client projects end-to-end across Business, Security, and Procurement with clear ownership of timelines, risks, and stakeholder communication
• Own the success of pilots through to production and expansion, working with sales to turn value delivered into renewed contracts and upsells
• Proactively surface and shape new use cases, teams, and regions where the agents can be deployed, and help build the commercial case for expansion.
• Build adoption: create super-user networks, internal champions, and usage cadences so workflows become part of daily decision-making.
• Partner with Product Engineers to convert every deployed workflow into reusable templates, patterns, and components.
• Spot cross-client patterns and feed them into our product roadmap.
• Shape our financial workflows product strategy - identify which use cases matter most, which markets have the highest pull, and what features unlock scale.
• Be the AI/solution subject-matter expert (SME) with clients, analysts, and industry teams.
• Provide feedback to engineering on primitives, orchestration, evals, model behavior, and platform improvements.
• Help build case studies, playbooks, and proof points that consistently win deals.
• Mentor junior team members, and over time help build and lead a high-performance Financial Workflows OE pod.

Required Experience

• 4–7+ years experience in financial analysis, investment research, credit underwriting, portfolio monitoring, or equivalent analytical roles.
• Working understanding of typical workflows such as:
• Credit memos & annual reviews
• Investment screens & IC memos
• Financial Modeling logic
• Portfolio monitoring and KPI tracking
• Market/industry analysis
• Compliance/ops workflows (non-ESG-specific)
• Ability to reverse-engineer financial workflows. (e.g You can take a messy 80-page credit memo or IC deck and extract the logic into steps, decisions, and data needs).
• Technical literacy. You have Python/SQL proficiency or advanced experience with low-code automation tools. You must be able to vibe code a demo to unblock yourself.
• You’ve built or designed a multi-step LLM workflow before.
• You ship V1s in days, not weeks,…