About the role

  • Agentic AI Architect leading strategic design and implementation of autonomous AI systems at S&P Global. Driving innovation and optimizing decision-making processes within enterprise workflows.

Responsibilities

  • Architect and design robust, scalable, and autonomous AI systems that seamlessly integrate with enterprise workflows, cloud platforms, and advanced LLM frameworks.
  • Define blueprints for APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making.
  • Provide technical leadership and strategic direction for AI initiatives focused on agentic systems.
  • Guide cross-functional teams of AI engineers, data scientists, and developers in the adoption and implementation of advanced AI architectures.
  • Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines).
  • Drive the selection and utilization of cloud platforms (AWS SageMaker preferred, Azure ML, Google Cloud Vertex AI) for scalable AI deployments.
  • Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation).
  • Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles.
  • Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities.
  • Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability.
  • Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment.
  • Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives.

Requirements

  • 12+ years of progressive experience in AI/ML, with a strong track record as an AI Architect , ML Architect, or AI Solutions Lead.
  • 7+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines).
  • Expertise in Python (mandatory) and familiarity with Node.js for architectural integrations.
  • Extensive hands-on experience with autonomous AI tools and frameworks : LangChain, Autogen, CrewAI, or architecting custom agentic frameworks.
  • Proficiency in cloud platforms for AI architecture : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI, with a deep understanding of their AI service offerings.
  • Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments.
  • Proven track record of leading the architectural direction of AI/ML teams, managing complex AI projects, and mentoring senior technical staff.
  • Strong understanding and practical application of AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and advanced bias mitigation techniques within AI architectures.
  • Exceptional ability to translate complex technical AI concepts into clear, concise architectural plans and strategies for non-technical stakeholders and executive leadership.
  • Ability to envision and articulate a long-term strategy for AI within the business, aligning AI initiatives with business objectives and market trends.
  • Foster collaboration across various practices, including product management, engineering, and marketing, to ensure cohesive implementation of AI strategies that meet business goals.

Benefits

  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Job title

AI Architect

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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