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VP, Principal AI / ML Engineer

VP, Principal AI / ML Engineer

Innovative ConnectionsDallas, TX, US
2 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Job Purpose & Scope

Leads the architecture, implementation and monitoring of scalable, production-grade Gen AI foundational / large language models (LLM) and agentic AI solutions, ensuring alignment with organizational goals and delivery of measurable business outcomes. Manages a multi-disciplinary team and fosters innovation across the enterprise. Drives the knowledge base parity & proof-of-concept development between Bank and the industry.

Essential Job Functions

  • Architects, designs and deploys LLM-based and agentic AI systems at scale, leveraging technologies such as GPT-4 / 5, LLaMA, Mistral, and Gemini.
  • Develops and maintains retrieval-augmented generation (RAG) pipelines and agentic workflows using tools like LangGraph, AutoGen, Milvus, Pinecone, or Weaviate.
  • Builds cloud-native, scalable microservices to support AI applications in production environments.
  • Implements AI-powered applications using Python and Java, ensuring robust and maintainable codebases.
  • Supports data ingestion, preprocessing, and prompt tuning to enable effective model development.
  • Implements leadership strategy to deploy, monitor, version, and scale AI systems on cloud platforms.
  • Enables and advocates the enterprise AI strategy, ensuring alignment with business objectives, regulatory requirements, and ethical standards.
  • Collaborates with senior engineers, product managers, and research scientists to deliver enterprise-grade AI solutions.
  • Ensures compliance, security, and responsible use of AI technologies across all deployed solutions.
  • Monitors advancements in AI / ML research and tools to inform ongoing development and strategic direction.
  • Performs other duties as assigned.

Knowledge, Skills & Abilities

  • Comprehensive knowledge of model fine-tuning and optimization techniques.
  • Comprehensive knowledge of distributed systems and microservices architecture beyond AI applications.
  • Comprehensive knowledge of machine learning fundamentals.
  • Strong problem-solving skills and ability to translate business challenges into technical solutions.
  • Effective collaboration and communication skills across cross-functional teams.
  • Proficient skill with agentic AI orchestration tools such as LangGraph, AutoGen, and Camunda.
  • Strong organizational, critical thinking, and time management skills.
  • Proficient skill in Python and Java for AI application development.
  • Advanced skills in LLMs, NLP, and GenAI applications.
  • Skill with cloud platforms (e.g. AWS, Azure, GCP) and containerization technologies (e.g. Docker, Kubernetes).
  • Skill with databases including SQL, NoSQL, and vector databases.
  • Ability to maintain confidentiality and exercise discretion and sound judgment in technical decision-making.
  • Ability to work minimal or no supervision.
  • Ability to manage multiple projects or assignments and demonstrate flexibility in a continually changing environment.
  • Ability to build scalable microservices and RAG systems.

    • Basic Qualifications

  • Bachelors degree in Computer Science, AI / ML, Data Science, or a related field, or commensurate work experience required.
  • 6+ years of experience in AI / ML engineering or applied AI system development, required.
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    Principal Engineer • Dallas, TX, US