S

Sia Partners

Management consulting integrating AI and design

AI Transformation & Strategy Consultant

AI Application EngineeringUpdated on Nov 13
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Two to seven years of experience in management consulting, business transformation, AI transformation, technology consulting, or related enterprise-facing roles.
  • A bachelor's degree is required.
  • Demonstrated hands-on experience personally building, configuring, and implementing AI agents or agentic AI workflows.
  • Experience developing AI agents in direct collaboration with business stakeholders, including gathering requirements, designing solutions, and implementing agents to solve business or operational challenges.
  • Experience applying AI to enterprise business processes, beyond personal productivity use cases, individual experimentation, or automating one's own daily tasks.
  • Experience supporting or delivering business transformation initiatives, including process assessments, workflow redesign, operating model improvements, or technology-enabled transformation.
  • Strong understanding of generative AI, large language models, agentic AI architectures, workflow orchestration, and enterprise AI applications.
  • Practical experience using AI development platforms, APIs, agent-building frameworks, or automation technologies to create functional AI solutions.
  • Ability to articulate the technical components, architecture, integrations, and development decisions behind AI agents personally built.
  • Experience translating stakeholder requirements and business challenges into actionable technical solutions and implementation plans.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Ability to work effectively with business leaders and technical teams, bridging business strategy and hands-on solution delivery.
  • Demonstrated ability to connect AI initiatives to measurable business outcomes, operational improvements, or user adoption.
  • Comfort operating in fast-paced, evolving client environments with a high degree of ownership and ambiguity.
  • Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
  • Candidates should be comfortable working closely with technical teams and actively experimenting with modern AI tools and workflows; deep machine learning engineering expertise is not required.

Responsibilities

  • Partner with business stakeholders and enterprise leaders to assess existing business processes, identify operational challenges, and uncover opportunities for AI-driven transformation.
  • Lead discovery sessions, stakeholder workshops, and current-state assessments to understand business needs and identify high-impact AI use cases.
  • Translate complex business problems into actionable AI transformation strategies, future-state workflows, and technical solution requirements.
  • Evaluate and prioritize AI opportunities based on business value, technical feasibility, operational impact, and scalability.
  • Develop business cases, implementation roadmaps, and success metrics that connect AI initiatives to measurable business outcomes.
  • Personally design, develop, prototype, and implement AI agents and agentic workflows addressing business challenges identified with stakeholders.
  • Work with business users, product owners, and technical teams to gather requirements, define agent capabilities, and translate business needs into functional AI solutions.
  • Build AI agents capable of executing multi-step tasks, interacting with enterprise systems, retrieving information, and supporting complex business workflows.
  • Develop and configure agentic workflows involving large language models, tool integrations, orchestration, decision logic, and human-in-the-loop processes.
  • Leverage AI development frameworks, APIs, and platforms such as OpenAI, Azure AI, Microsoft Copilot Studio, Claude, LangChain, LangGraph, or comparable technologies.
  • Test, troubleshoot, and refine agent behavior, prompts, integrations, and workflows to improve reliability, accuracy, and performance.
  • Collaborate with engineering and data teams to integrate AI agents into existing enterprise systems and support production deployment.
  • Explain technical design decisions, agent architecture, implementation approaches, and the business impact of solutions personally developed.
  • Support AI transformation initiatives from opportunity identification and strategy development through solution design, implementation, and adoption.
  • Assess current-state business processes and design future-state operating models incorporating AI agents, automation, and human-AI collaboration.
  • Partner with cross-functional business and technology teams to embed AI solutions into existing operations and enterprise workflows.
  • Help organizations transition from manual or fragmented processes to AI-enabled operating models that improve efficiency, scalability, and decision-making.
  • Manage competing priorities, navigate ambiguity, and drive execution across complex stakeholder environments.
  • Support the development of AI transformation roadmaps, governance frameworks, and scalable implementation approaches.
  • Establish and track key performance indicators to evaluate AI solution performance, adoption, operational efficiency, and business outcomes.
  • Gather stakeholder feedback and analyze workflow performance to identify opportunities for continuous improvement.
  • Optimize AI agents, prompts, orchestration logic, and integrations based on real-world performance and evolving business requirements.
  • Identify opportunities to expand successful AI solutions across additional business functions and use cases.
  • Develop repeatable frameworks, methodologies, and best practices for scaling AI transformation initiatives.
  • Partner with business leaders and end users to drive adoption of AI-enabled workflows and new ways of working.
  • Facilitate stakeholder demonstrations, training sessions, and working sessions to support AI solution implementation.
  • Translate technical AI concepts into clear, actionable recommendations for nontechnical audiences.
  • Support organizational change management efforts, including process redesign, user enablement, and adoption planning.
  • Collaborate with legal, risk, compliance, and technology stakeholders to support responsible and secure AI implementation.

Desired Qualifications

  • Experience in management consulting or client-facing AI and digital transformation engagements.
  • Hands-on experience with AI development tools and frameworks such as OpenAI APIs, Azure AI Foundry, Microsoft Copilot Studio, Anthropic Claude, LangChain, LangGraph, AutoGen, or comparable technologies.
  • Experience building AI agents that integrate with enterprise applications, APIs, databases, knowledge repositories, or business systems.
  • Experience developing multi-agent workflows, retrieval-augmented generation solutions, or AI-powered process orchestration.
  • Familiarity with Python, API integrations, prompt engineering, and AI solution evaluation or testing.
  • Experience taking AI solutions from initial discovery and proof of concept through implementation, deployment, and adoption.
  • Exposure to AI governance, responsible AI, data security, and enterprise implementation considerations.
  • Experience supporting AI transformation initiatives within large enterprise environments.
  • Experience in consulting, technology, financial services, fintech, or other complex enterprise industries.
  • Relevant AI, cloud, or technology certifications.

About the Company

Sia Partners

Management consulting integrating AI and design

Sia Partners is a management consulting firm that blends AI and design with traditional advisory to help clients improve performance. Its approach combines thorough analysis of competitive, regulatory, and organizational factors with AI-enabled and design-driven solutions across 30+ sectors, delivered by a global network of 2,400 consultants in 38 countries. It differentiates itself by staying independent from the IT services industry (a pure-player) and embracing a Consulting for Good mindset that creates CSR-enabled, sustainable transformations. Its goal is to become a leading independent management consulting firm in Europe, driving value-driven change for clients and responsible growth.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$12.7M
Headquarters
Paris, France
Founded
1999

Recently Posted Jobs

Explore more opportunities at Sia Partners

See more jobs