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.

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
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.

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 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
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
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
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
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
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

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 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.
- Residency
- Domino health scan
- Cost optimization and FinOps
- CI/CD integration
- Infrastructure advisory

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.

Domino health scan
Let us extend the value of using Domino by assessing your current infrastructure against your strategic goals, through automated scans and interviews, including:
- Cloud journey
- Cost optimization
- GenAI
- Performance and scale
- Data and information security
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.

Cost optimization and FinOps
Domino’s FinOps services help budget owners optimize project financial performance by measuring, attributing, and managing platform TCO, with tailored cost management and reporting solutions.
Outcomes: Tailored cost and usage reports and APIs/exports and cost control plan
Duration: 2 - 4 weeks

CI/CD integration
Seamlessly and securely connect to Domino from external systems or agents and integrate Domino with your CI/CD pipelines and broader enterprise workflows, with our best practices and proven templates.
Outcomes: Automation of Domino workflows
Duration: Varies per engagement

Infrastructure advisory
Ensure a reliable Domino deployment with expert guidance on deployment, upgrades, migrations, and security integration. Tailored for customers managing their own infrastructure, we help prevent downtime and ensure reliable and secure operations.
Outcomes: Up-to-date, reliable, and secure operation of Domino
Duration: Varies per engagement
Zero to AI in 10 days
- What is the service?
- Why is it valuable?
- How is it delivered?
- Use cases

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

Why is it valuable?
- Accelerates time-to-value by implementing high-potential ideas rapidly
- Teaches customers both Domino platform skills and high-velocity delivery methods
- Firm commitment to complete all work within a 10-day timeframe
- Provides comprehensive documentation for future reference and knowledge transfer

How is it delivered?
- Initial assessment and planning sessions (scheduled within 2 weeks of purchase)
- Project scoping and design completed within 2 weeks of planning start
- Execution phase with embedded customer team members
- Delivery team: Solutions Engineer and Solutions Delivery Manager
- Deliverables: Implemented use case, project plan, and technical documentation

Use cases
- Shifting from Anomaly Detection to Fraud Detection
- Partitioned RAG Architecture for AI Chat Bot
- Operational Dashboarding Solution
- Analytic Feature Engineering Pipelines
Training and certification
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
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
Domino University
Domino offers three learning paths delivered online for data science practitioners, IT professionals, and data science leaders.