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Managing Director, AI GTM Solution Architect Lead

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: NTT DATA Services
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 350000 USD Yearly USD 150000.00 350000.00 YEAR
Job Description & How to Apply Below

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Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

We are currently seeking a
Managing Director, AI GTM Solution Architect Lead to join our team in San Francisco, California (US-CA), United States (US).

Position Summary

We are seeking an experienced Managing Director,
AI GTM Solution Architect Lead
with a strong background in Generative AI, Machine Learning–based analytical solutions
. The ideal candidate will lead the design and architecture of scalable, secure, and production-grade AI solutions that address complex business problems. This role requires a blend of technical leadership, hands-on architecture skills, and regulatory considerations.

Key Responsibilities

  • Define end-to-end Agentic, AI/ML and Generative AI solution architectures aligned with business objectives and enterprise standards
  • Design and implement agentic AI use cases such as underwriting assistance, claims automation, document intelligence, customer engagement, fraud detection, and agent productivity
  • Architect LLM-based solutions including RAG pipelines, prompt engineering strategies, fine-tuning approaches, and orchestration frameworks
  • Evaluate and recommend LLMs, embedding models, vector databases, and GenAI platforms (open-source and commercial)

Advanced Analytics & Machine Learning

  • Design scalable ML solutions for predictive analytics, risk modeling, pricing, churn prediction, fraud detection, and customer segmentation
  • Oversee feature engineering, model lifecycle management, MLOps pipelines, and model monitoring strategies
  • Ensure solutions meet performance, explainability, fairness, and regulatory requirements
  • Architect AI solutions on cloud platforms (AWS, Azure, GCP) using native AI/ML services where appropriate
  • Define data architectures integrating structured and unstructured data
  • Guide engineering teams on scalable APIs, microservices, event-driven architectures, and secure deployments
  • Establish best practices for AI governance, security, and responsible AI
  • Act as a technical thought leader for AI engagements
  • Mentor data scientists, ML engineers, and solution architects
  • Support pre-sales, solutioning, and client workshops with technical credibility
  • Stay current with emerging AI, GenAI, and insurance technology trends

Required Skills & Experience

Technical Skills

  • Hands-on expertise in Machine Learning, NLP, deep learning
    , and statistical modeling
  • Experience with RAG architectures, vector databases (Pinecone, FAISS, Weaviate, etc.)
  • Proficiency in Python and ML frameworks (Tensor Flow, PyTorch, Scikit-learn)
  • Experience with MLOps tools and CI/CD pipelines
  • Cloud experience:
    AWS / Azure / GCP (certifications preferred)
  • Proven experience as a Solution Architect / AI Architect in enterprise environments
  • Strong stakeholder communication and documentation skills
  • Ability to bridge business, data science, and engineering teams
  • Strategic thinking with hands-on execution mindset

Preferred Qualifications

  • Advanced degree in Computer Science, Data Science, AI, or related field. PHDs in statistics are preferred.
  • Exposure to Responsible AI, Model Explainability (SHAP, LIME), and governance frameworks
  • Experience with document AI, OCR, speech analytics
    , or conversational AI in insurance

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and…

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