Director - Solution Architect

Evalueserve is a leading global company that developsinnovative and sustainable solutions for a wide range of clients, includingmore 30% of the Fortune 500 companies. With presence in more than 45countries across five continents, we excel in leveraging state-of-the-arttechnology, domain-specific AI solutions, and deep subject matter expertise toelevate our clients' strategic decision-making and business impact. Our clientsinclude Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, MorganStanley, Nestlé, Novo Nordisk, and Procter & Gamble.

We have 5,000+ talented professionals operating across 45countries, including India, China, Chile, Romania, the US, and Canada. Ourglobal network also extends to emerging markets such as Colombia, the MiddleEast and the rest of Asia-Pacific.

Recognized by Great Place to Work in India, Chile, Romania,the US, and the UK, we offer a dynamic, growth-oriented, and open culture thatprioritizes flexible work-life balance, diverse and inclusive teams, and equalopportunities for all.

Watch this video to understand what it means to Elevate Your Impact atEvalueserve!

Job Summary

The AI Solution Architect will lead client-facingarchitecture, presales, and delivery for predictive, optimization,classification, forecasting, and decision-intelligence solutions. This role issuited to someone who can connect business priorities to robust AI/ML systemsthat are explainable, scalable, and operationally reliable.

Pre-Sale: Client Engagement & Solution Design

• Partnerwith sales to lead technical discovery conversations with enterpriseprospects seeking data, analytics, and machine learning solutions.
• Translateclient challenges into structured classical AI roadmaps covering use-caseprioritization, data readiness, model design, deployment, and adoption.
• Designand present end-to-end solution architectures for forecasting,optimization, anomaly detection, recommendation, and decision-support usecases.
• Developproof-of-concepts, solution estimates, and technical narratives that helpshape pursuit strategy and accelerate deal closure.
• Serveas the technical lead in client workshops, answering questions on modelperformance, explainability, feature engineering, and operationalization.

Post-Sale: Delivery & Client Success

• Ownthe solution through delivery, ensuring the final implementation alignswith the architecture, outcomes, and commercial commitments made duringsale.
• Leadcross-functional teams across data engineering, data science, cloud, andbusiness stakeholders.
• Advisesenior client stakeholders on industrializing classical AI in productionenvironments.
• Identifyfollow-on opportunities in analytics modernization, model expansion,MLOps, and decision automation.

Capability Building

• Createreusable templates, reference architectures, and delivery playbooks forrecurring AI use cases.
• Contributeto internal knowledge assets, client case studies, and go-to-marketcollateral.
• Mentorjunior architects, data scientists, and analysts on AI solution design andclient communication.
• Providefeedback to leadership on market demand, delivery lessons, anddifferentiators.

Required Qualifications

• 12+years of experience in data, analytics, AI/ML consulting, solutionarchitecture, or enterprise technology delivery.
• Provenexperience with enterprise clients across industries such as financialservices, retail, manufacturing, healthcare, or industrials.
• Backgroundin a client-facing technical role where you have shaped solutions andsupported delivery.
• Demonstratedsuccess guiding projects from technical discovery to proposal,implementation, and handoff.
• Bachelor’sdegree in related field.-

Technical Skills

• Strongunderstanding of AI and machine learning methods such as regression,classification, clustering, forecasting, optimization, and anomalydetection.
• Experiencewith data engineering, feature engineering, model deployment, monitoring,and MLOps practices.
• Abilityto design solutions across cloud platforms, APIs, data platforms, andanalytics stacks.
• Workingknowledge of model governance, validation, interpretability, andenterprise risk controls.
• Excellentexecutive communication and storytelling skills, with the ability to maketechnical tradeoffs clear to business leaders.
• Strongcommercial judgment in scoping, estimation, and solution shaping.
• Collaborativemindset and ability to influence across sales, delivery, and technicalteams.
• Comfortableworking independently in ambiguous environments and building structurewhere needed.

Why This Role

• Youwill shape how enterprise clients adopt AI beyond pilots and intoproduction-scale value.
• Youwill work on high-value use cases where AI drives measurable businessoutcomes.
• Youwill have the chance to define delivery standards and reusable solutionpatterns.
• Youwill join a practice with global reach, strong analytics depth, and theability to scale impact across accounts.

Disclaimer:

The following job descriptionserves as an informative reference for the tasks you may be required toperform. However, it does not constitute an integral component of youremployment agreement and is subject to periodic modifications to align withevolving circumstances.

Please Note

We appreciate the accuracy and authenticity of theinformation you provide, as it plays a key role in your candidacy. As part ofthe Background Verification Process, we may verify your employment, education,and other details. Please ensure all information is factual and submitted ontime. For any assistance, your recruiter is available to support you.