Senior Forward Deployed Engineer (FDE Lead

Key Responsibilities

• Lead a portfolio of forward-deployed engineering engagements across business and platform domains; define priorities, allocate resources, and ensure delivery of measurable outcomes within defined timelines.
• Serve as the senior technical lead in discovery and solution design with executive stakeholders; translate ambiguous opportunities into actionable, production-ready plans.
• Own and evolve forward deployment methodologies, including engagement standards, delivery playbooks, and handoff frameworks.
• Champion a reuse-first approach, driving the creation of reusable patterns, reference architectures, and platform contributions from field learnings.
• Establish and enforce engineering quality standards, including secure-by-default practices, observability, testability, and operational readiness.
• Define and implement a scalable model for transitioning solutions from prototype to long-term ownership by internal teams.
• Partner with architecture, security, compliance, and senior technology leadership to align on strategy and governance.
• Identify platform gaps and investment opportunities based on delivery insights; influence roadmap and engineering priorities.
• Build, mentor, and scale a high-performing team of senior engineers.
• Stay current with advancements in AI, platform engineering, and regulated delivery environments, bringing best practices into the organization.

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Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience); advanced degree preferred.
• 14+ years of software engineering and technical leadership experience, including ownership of production systems and large-scale delivery initiatives.
• Experience working in financial services or other regulated industries is a plus.

Strong understanding of modern AI application patterns, including

o Retrieval-Augmented Generation (RAG)

o Semantic search

o Agent-based systems

• Hands-on experience building backend services, APIs, and scalable production systems.
• Ability to operate across architecture, data, and platform layers.

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Preferred Qualifications

• Proven experience building or scaling engineering delivery functions such as solutions engineering, forward deployment, or platform engineering.
• Track record delivering AI, data, or workflow-driven solutions in regulated environments.
• Strong architectural and systems-thinking capabilities across services, data, and infrastructure.
• Experience creating and operationalizing delivery standards, playbooks, or centers of excellence.
• Ability to balance speed, governance, and operational rigor at scale.
• Familiarity with internal developer platforms, reusable infrastructure, and productized engineering patterns.

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Technical Skills

Proficiency in one or more of

Java, Python, JavaScript/TypeScript

• Experience with API design, system integration, and secure engineering practices
• Ability to work across data, AI, workflow, and platform domains
• Experience using modern AI tools with a focus on production-grade systems (not just prototypes)
• Familiarity with application frameworks and containerization technologies

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Leadership & Soft Skills

• Excellent communication skills with the ability to influence senior executives
• Strong strategic thinking and product judgment
• Proven ability to lead across matrixed organizations without direct authority
• Skilled in making tradeoffs across risk, speed, and long-term scalability
• Execution-focused with strong attention to documentation and delivery discipline

All your information will be kept confidential according to EEO guidelines.