Director of Applied AI Engineering

nabancard; USA; Remote; USD 207.000 - 290.000; Vollzeit

Benefits dieser Stelle

Medical coverage

Dental coverage

Vision coverage

Flexible PTO

Employer match 401k

Mental health support

Parental leave

Education assistance

Lifestyle account

Zusammenfassung

nabancard is seeking a senior Engineering Leader to guide an AI-enabled team turning prototypes into reliable, production-ready systems embedded in business workflows. You will shape the architecture, drive delivery across projects, and ensure responsible AI operations in a regulated financial services setting.

You will build and lead the team, define standards, collaborate with product partners, and oversee deployment, monitoring, and cost control for large language model-based solutions.

Qualifikationen

• Bachelor’s degree or equivalent in a technical field.
• 10+ years in software engineering or ML, with customer-facing experience.
• 2+ years delivering production systems built on LLMs with live agents.
• 4+ years managing and developing engineering teams.
• Experience with AI SDKs, agent frameworks, and production patterns (tool calling, RAG, vector search, state management).
• Strong cloud engineering and production operations skills, plus AI security and governance.

Aufgaben

• Establish operating model, standards, engagement approach, and long-term AI architecture.
• Collaborate with product and business to choose AI or automation approaches.
• Guide discovery, prototyping, production deployment, and support for conversational tools and ML.
• Build secure integrations giving AI access to data and internal tools.
• Define evaluation practices: benchmarks, checks, human review, and production quality.
• Coordinate production ops with cloud/data teams; monitor pipelines and costs.

Kenntnisse

Engineering leadership

LLM production experience

Cloud & production ops

AI security

AI integrations

Ausbildung

Bachelor’s degree

Tools

AI SDKs

Agent frameworks

Vector search

Jobbeschreibung

Role overview

Lead a hands-on engineering team that turns AI prototypes into reliable, adopted systems embedded in business workflows. The role spans team building, technical direction, delivery across multiple projects, and responsible operation of AI in a regulated financial services setting.

Responsibilities

• Establish the team’s operating model, engineering standards, engagement approach, and long-term AI architecture.
• Work with product and business partners to understand operational needs and choose suitable AI or conventional automation approaches.
• Guide discovery, prototyping, production deployment, and ongoing support for conversational tools, agent workflows, copilots, and machine learning solutions.
• Build secure, reusable integrations that give AI systems controlled access to company data and internal tools.
• Define evaluation practices, including benchmarks, regression checks, human review, and production quality measures.
• Coordinate production operations with cloud and data teams, covering deployment pipelines, monitoring, incidents, latency, and inference costs; report impact to leadership.

Requirements

• Bachelor’s degree in a relevant technical field or equivalent experience.
• At least 10 years in software engineering, machine learning, or a related area, including customer-facing or business-embedded engineering work.
• At least 2 years delivering production systems built on large language models, including a live agent or conversational system.
• At least 4 years managing, hiring, coaching, and developing engineering teams.
• Practical experience with code-level AI SDKs or agent frameworks, and core production patterns such as tool calling, retrieval-augmented generation, vector search, structured outputs, and state management.
• Strong cloud engineering and production operations skills, plus knowledge of AI security, auditability, evaluation, and financial-services controls.

Benefits and work setup

• Remote role based in the United States; visa sponsorship is unavailable.
• Listed salary range: $207,000–$290,000, varying by location and job-related qualifications.
• Benefits include medical, dental, and vision coverage; flexible paid time off; retirement plan with employer match; mental health support; parental leave; education assistance; and a lifestyle spending account.