Domino Professional Services

Confidently accelerate, scale, and de-risk AI

Organizations pursuing business transformation through AI at enterprise scale often face complex challenges, including integrating diverse technologies, managing costs, and ensuring security and scalability. Without deep expertise, these efforts risk delays, inefficiencies, and suboptimal outcomes, jeopardizing the full potential of AI investments. Engaging experts with experience in delivering dozens of enterprise DSML and AI platform implementations is essential to navigate these complexities, ensuring the fastest, most cost-effective, and safest path to success.

Professional services

Domino Professional Services

Accelerate AI success with trusted Domino’s Professional Services. Our deep experts act as an extension of your team and implement proven strategies for building, operating, and scaling AI solutions — quickly, responsibly, and cost-effectively. From setting the right foundation to mitigating risks, we help you achieve peak performance, reduce costs, and drive growth with reliable systems that unlock AI value.

Working with Domino’s Professional Services experts can:

  • Shorten time to value: From onboarding to deploying AI at scale, we can accelerate your AI journey and maximize business impact.
  • De-risk AI: Create an AI foundation that minimizes legal, financial, and reputational risks, and avoids delayed migrations, subpar designs, and unprepared teams.
  • Successfully scale: Launch a successful pilot or scale up and optimize AI with our advisory and residency programs.

The Domino difference

People

Our trusted experts train and upskill your team for faster time to value.

Technology

We complement our robust platform with advanced support and training.

Process

Our experts join yours for a “one team” approach that guarantees success.

Outcomes

We work backward from your KPIs to create a lasting Center of Excellence.

Meet the team

Sameer Wadkar headshot

Sameer Wadkar

Principal Solution Architect

I work closely with enterprise customers to deeply understand their environments and enable successful adoption of the Domino platform. I've designed and delivered solutions that address real-world challenges, with several becoming part of the core product. My focus is on scalable infrastructure for LLM inference, distributed training, and secure cloud-to-edge deployments, bridging advanced machine learning with operational needs.

Viabhav Dhawan

Vaibhav Dhawan

Principal Solution Architect

I work to support large and complex customer deployments to meet their requirements for security, cost, tool integration, data and processes both in the cloud and on-prem. A number of these solutions and best practices are packaged into reusable Blueprints for our larger customer base, and some are later integrated into the Domino platform.

Ana Bodini

Ana Bodin

Director, Services Delivery

As the SDM Team Lead, I ensure timely, budget-compliant, and high-quality Professional Services Project delivery. My team bridges technical and business needs, translating complex ideas into actionable insights and safeguarding project KPIs. We excel at grasping complex AI initiatives and proactively addressing gaps. Leveraging expert knowledge, we ensure delivery excellence, build trust, and drive impactful customer outcomes.

Akshay Ambekar

Akshay Ambekar

Director, Solution Architecture & Engineering USA

My team and I are hands-on architects and engineers, translating customer AI ambitions into robust, scalable technical implementations. I focus on mentoring teams and building trusted relationships to ensure our solutions are not just technically sound but also sustainable and impactful for clients. I deliver deep insight into enterprise AI platforms and strategic imperatives driving customer success.

Oussama Ben Lagha

Oussama Ben Lagha

Director, Solution Architecture & Engineering EMEA

I lead the EMEA Solution Architecture & Engineering team, bridging customer strategic goals with technical implementation of enterprise AI initiatives. My team of dedicated problem-solvers, combines practical innovation with engineering rigor, focusing relentlessly on customer outcomes. We design resilient systems using MLOps, DevOps, and automation, iteratively empowering customers and creating lasting positive business impact.

Nizar Najmi

Nizar Najmi

Staff Solutions Engineer

My passion for machine learning and AI drives my role. I assist major clients, from pharma to banks, in enhancing their AI workflows. I collaborate to discern requirements, guiding platform adoption and optimization. What I find most compelling is architecting bespoke solutions tailored to unique client use cases, ensuring optimal utilization and impactful results.

Lakshmi Narayanan Krishnamurthy

Lakshmi Narayanan Krishnamurthy

Staff Solutions Architect

I support complex customer deployments across Federal, Financial Services, and Life Sciences sectors in the U.S., focusing on installation, architecture, networking, and security. I lead deployment and onboarding efforts to ensure customer environments meet compliance, security, and integration requirements—while setting them up for long-term success across cloud, on-prem, and hybrid infrastructures through upgrades and best practices. Many of these processes are documented and scaled as reusable patterns to accelerate future deployments and faster onboarding of new customers.

Wasantha Gamage

Wasantha Gamage

Staff Solutions Engineer

I partner with some of the largest life sciences companies to ensure successful adoption of the Domino platform. I design and deliver solutions addressing real-world challenges in pharmaceutical and biotech organizations. My focus is training and advising data scientists on efficient platform use and onboarding complex AI/ML use cases across domains like histopathology and oncology.

Professional Services offerings

MLOps Excellence

MLOps in Domino

ML Ops: Assess

Benchmarking current practices

Over the course of our experts inspect your practices and processes, to assess MLOps maturity, and recommend next-level improvements that accelerate AI velocity and efficiency.
Outcomes: A personalized report and executive deck with recommendations.
Duration: 1 - 2 months

ML Ops: Enable

From Theory to Practice

Our experts help you design and establish core MLOps assets, planning, practices that evolve and optimize your current MLOps practices for maximum impact.
Outcomes: Operational documentation and comprehensive training for your entire organization.
Duration: 2 - 4 months

Model Migrations

Legacy Modernization

Our team helps you migrate production models to Domino by collaborating with your data science team and ensuring best practices that modernize MLOps and increase velocity.
Outcomes: 70% faster time to production for models.
Duration: Varies per engagement


AI Risk Management Framework (AI RMF)

De-risk and govern end-to-end AI. Domino experts help you accelerate your AI governance maturity by identifying risks, implementing governance at scale, and accelerating compliance with our AI Risk Management Framework.

AI Risk Management Framework (AI RMF)

AI RMF: Assessment

Identify risks

Domino helps evaluate AI responsibility, recommends improvements to assess, mitigate risks, and improves compliance with AI regulations.
Outcomes: Personalized report and executive deck with recommendations
Duration: 1-2 months


AI RMF: Configure

Accelerate compliance

Domino transforms risk management principles into Domino policies, for an easy transition from intentions to enforceable policies.
Outcomes: Formalized policy documentation and Domino implementation
Duration: 1-2 Weeks


AI RMF: Enable

Mitigate risks

Domino helps establish core responsible AI assets/practices (processes, tools, and frameworks) to evolve and optimize governance practices.
Outcomes: Operational documents, presentations, training for organization
Duration: 2 - 4 months


Looking for data science and ML insights?

Check out Domino Blueprints — a hub for data science and machine learning provided by Domino experts.

Leverage a resident expert

Domino’s residency offerings provide dedicated ML engineer, data science, and architecture experts who work closely with your in-house teams to unlock more value, uncover new efficiencies, and de-risk your AI journey.

Solution architect

Solution architect and solution engineer residency

Our dedicated experts are embedded on your team to support discrete projects, ad hoc requests, and recurring activities, offering guidance on upgrades, maintenance, and enablement, to ensure long-term success.

Outcomes: Varies per engagement. Coordinated through a Service Delivery Manager.

Duration: Bronze, Silver and Gold packages provide 20/40/60 days of residency, custom options available.

Zero to AI in 10 days

What is the service

What is the service?

  • Specialized service that helps customers implement their most valuable ideas into production on the Domino platform in just 10 days
  • Focused on "green field" projects rather than migrating existing models
  • Includes project planning, architectural design, implementation, and operational training
  • Best suited for focused, nascent use cases that don't require extensive third-party integration

Training and certification

Tailored training and enablement

Tailored training and enablement

Get users up to speed quickly and ensure continuous AI and MLOps enablement to get the most out of your Domino Enterprise AI Platform, and accelerate adoption and value realization.

Format: Classroom (virtual), self-paced online and custom trainings or workshops

Duration: Half day or custom

Domino certifications

Domino certifications

Ensure that users, admins, and partners have the prerequisite skills and fully understand platform capabilities, functionality, and best practices through self-paced online training and certification.

Outcomes: Establish standard skillsets

Duration: Half-day

University

Domino University

Domino offers three learning paths delivered online for data science practitioners, IT professionals, and data science leaders.