Associate Director - IT Strategy Consulting - AI / Generative AI Engineering

Associate Director, IT Strategy Consulting - AI/Generative AI Engineering

About the role

Gartner's Consulting business is an extension of Gartner's industry-leading IT Research. From CIOs, to leaders in business and government, we help Gartner clients across enterprises translate insights into transformational actions and achieve their mission-critical priorities. Leveraging the breadth of Gartner's resources, Consulting is growing rapidly, with unlimited potential to continue expanding our client base.

Technology Strategy Consulting. We help the C-suite make the right decisions based on how technology can transform their businesses. In today's world, a consulting firm that is "born digital", (with the ability to directly leverage the full power of Gartner's research and insights) has relevance to the most important strategic decisions any business will make.

We deliver value to clients in areas such as IT Strategy Consulting, Benchmarking, Analytics and Optimization. Typically, this helps Gartner's clients to execute on their strategic priorities, across all sectors, including:

• Digital Growth and Transformation
• Applications, Infrastructure and Security Modernization
• Sourcing and Spent Optimization

The Role:

We are seeking a highly motivated AI talent to join our team. In this role you will help our clients navigate the complex world of modern AI - from strategy to execution. As part of our team, you will work directly with clients to envision how they can leverage AI to transform and modernize their organizations, and you will build AI solutions that demonstrate practical, real-world value. This is a high-growth, high-visibility area with plenty of opportunities to enhance your skill set and build your career

Key Responsibilities:

• AI Strategy and Transformation:
  • Lead and manage consulting engagements and diverse teams of experts and delivery associates. Present findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
  • Work with clients to identify the business potential of Artificial Intelligence (AI) and establish AI strategies, define and prioritize AI use cases, establish AI governance, and collaborate with client stakeholders to understand technical and business constraints.
  • Collaborate with clients to establish AI programs and processes for scaling delivery of AI solutions (e.g., MLOPs, ModelOps)
  • Align AI strategies and use cases to required data assets, identify strategies for acquiring data assets (including the potential value of synthetic data), design data pipelines to support data science and AI projects.

• AI Engineering:
  • Apply various Machine Learning/AI (ML) and software engineering techniques to develop AI and Generative AI prototypes and proof of concepts; integrate client, domain (e.g., finance, sales), and industry knowledge into the solution.
  • Apply experience and knowledge of various foundation models (e.g., LLMs, diffusion models), and AI engineering techniques (e.g., retrieval augmented generation, vector search) to identify and compare solution architecture alternatives for AI/GenAI solutions (e.g., cost vs complexity vs performance)

• Develop AI/GenAI solutions across multiple cloud environments, including Azure, AWS, and GCP.

• Develop AI/GenAI solutions using low-code/no-code solutions (e.g., MSFT Copilot Studio)

• Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.

Requirements:

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• Solid understanding of machine learning fundamentals, including deep learning concepts.
• Familiarity with generative AI techniques and different types of foundation models (e.g., GPT, DALL-E, Stable Diffusion, LLaMA, Claude).
• Proficiency in programming languages, with a strong emphasis on Python.
• Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain).
• Experience and demonstrable projects working with cloud platforms such as Azure, AWS, or GCP.
• Exposure to or interest in learning Databricks.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• A passion for learning and a proactive approach to tackling new challenges in the AI space.
• Experience with data visualization tools and techniques to effectively communicate insights and findings.
• Excellent problem-solving skills and ability to think critically to tackle complex business problems.
• Ability to work independently and collaboratively in a fast-paced and dynamic environment.
• Proven track record of delivering high-quality results within deadlines.

Join our team and contribute to our data-driven culture, where your expertise will be valued and your contributions will have a direct impact on our success. We offer competitive compensation, professional development opportunities, and a supportive work environment that fosters innovation and growth.

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Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

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