Oracle AI Architect - Presales & Professional Services Practice Lead

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We are looking for a seasoned Oracle AI Architect to lead presales initiatives and accelerate the growth of our professional services practice centered on Oracle’s AI technologies. This role involves designing innovative AI solutions that transform business processes, collaborating closely with sales teams to secure new engagements, and building a high-performing consulting team delivering expert AI-driven services.

Your role 

• Lead presales activities by engaging with clients to understand business challenges and design tailored Oracle AI solutions including machine learning, natural language processing, and data analytics.
• Conduct workshops, demonstrations, and proof-of-concept projects showcasing Oracle AI capabilities and value propositions.
• Develop and articulate AI solution architectures leveraging Oracle AI products such as Oracle Digital Assistant, Oracle Cloud AI Services, and Oracle Autonomous Database with AI integration.
• Guide and mentor a team of AI consultants and architects to deliver advanced AI implementations and professional services.
• Expand the AI professional services practice by identifying new service offerings, refining delivery methodologies, and driving operational and technical excellence.
• Collaborate with Oracle product teams, partners, and internal stakeholders to stay current on AI innovations, product roadmaps, and best practices.
• Create technical proposals, statements of work, and pricing models to support presales and project execution.
• Build strong client relationships to act as a trusted advisor, ensuring successful AI adoption and ongoing client satisfaction.
• Develop and deliver training and enablement programs to increase AI expertise across sales and delivery teams.
• Monitor AI and market trends, competitor offerings, and customer feedback to continually enhance solutions and services.

Job Description - Grade Specific

Your skills and experience

• Extensive experience architecting and deploying AI solutions, with a strong focus on Oracle AI technologies and platforms.
• Deep understanding of AI domains, including machine learning, NLP, chatbots, computer vision, and predictive analytics.
• Proven success leading presales engagements and winning complex AI-driven deals.
• Demonstrated ability to build or grow a professional services practice or consulting team focused on AI and emerging technologies.
• Familiarity with Oracle AI products such as Oracle Digital Assistant, Oracle Cloud AI Services, and Autonomous Database AI features.
• Oracle AI certifications or strong AI-related credentials preferred.
• Ability to travel to support client engagements and business development activities.
• Experience integrating AI solutions with enterprise applications, cloud platforms, and data ecosystems.
• Knowledge of AI development frameworks and tools (e.g., Python, TensorFlow, Oracle Machine Learning).
• Understanding of data strategy, governance, and ethical AI practices.
• Strong leadership qualities with a collaborative and growth-oriented mindset.

The base compensation range for this role in the posted location is $139,400 - $277,200

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions