Vice President / Director - AI Engineering (Enterprise AI Solutions)

Job Title: Vice President / Director - AI Engineering (Enterprise AI Solutions)

Location:

About the Role:

AI Engineering Leader

This is a high-impact role where you will shape the engineering vision, lead global cross-functional squads, and ensure our solutions set the standard for innovation, security, and governance in a regulated environment.

Key Responsibilities:

• AI Strategy & Architecture:

  Lead the full lifecycle of AI engineering from prototype to production. Define and architect scalable, modular AI agent systems using frameworks like LangChain, CrewAI, and LlamaIndex.

• Platform Ownership:

  Drive the roadmap for core AI platforms (Agent Factory, AI Foundry), ensuring robust orchestration, safety, and lifecycle management. Oversee multi-cloud deployment (Azure, AWS, GCP) of secure, portable AI agents.

• Technical Leadership:

  Manage and inspire multi-disciplinary engineering squads (AI/ML, MLOps, DevSecOps, Cloud). Establish and enforce AI SDLC, MLOps, and Responsible AI governance checkpoints.

• Data & Integration:

  Partner with Data Engineering to leverage a unified data lakehouse as the single source of truth. Architect AI-native integrations with major enterprise systems (e.g., SAP, Workday, ServiceNow) and oversee graph/vector storage layers.

• Stakeholder Engagement:

  Translate complex domain workflows (in audit, tax, advisory, or similar fields) into efficient agentic pipelines. Serve as the AI engineering authority for internal transformation and client-side innovation pilots.

Required Qualifications:

• Experience:

  17+ years in AI/Software Engineering, with at least 5+ years in a leadership role managing large (50+), globally distributed engineering teams.

• Technical Expertise:

• AI/ML Frameworks:

  Deep hands-on experience with LangChain, CrewAI, AutoGen, PyTorch/TensorFlow, HuggingFace, and modern LLMs (GPT, Claude, Llama).

• Cloud & Data Platforms:

  Expert in building on Azure AI, AWS Bedrock, GCP Vertex, Databricks, Snowflake, or similar.

• MLOps & Architecture:

  Proven track record with MLflow, Kubeflow, Kubernetes, and microservices/event-driven architectures.

• Security & DevOps:

  Strong understanding of Zero-Trust security, Confidential AI, and CI/CD pipelines (GitHub, Terraform, Helm).

• Leadership & Mindset:

• Deep understanding of business, risk, and compliance in regulated enterprise environments (experience in professional services, finance, or consulting is a strong plus).
• Exceptional executive communication and board-level presentation skills.
• Ability to balance rapid innovation with stringent governance and operational excellence.

• Education:

  Ph.D. / Masters degree in Computer Science, AI/ML, or a related quantitative field.

What We Offer:

• A chance to build and lead at the forefront of enterprise AI.
• A role with significant strategic impact and visibility to senior leadership.
• A culture that values cutting-edge technology, responsible innovation, and professional growth.
• Competitive compensation, benefits, and long-term incentives.

Apply Now:

Confidentiality Assured

Warm Regards,