Director - Solutions Architect - AI

Evalueserve; United States; On-site; USD 170,000 - 250,000; Full time

Job summary

Evalueserve is seeking an AI Solution Architect to lead client-facing architecture, presales, and delivery of advanced AI/ML solutions for enterprise clients.

You will translate business priorities into scalable, explainable models, guide cross-functional teams, and help industrialize AI in production while shaping reusable patterns and playbooks.

Qualifications

• 12+ years of experience in data, analytics, AI/ML consulting, solution architecture, or enterprise technology delivery.
• Proven experience with enterprise clients across industries such as financial services, retail, manufacturing, healthcare, or industrials.
• Background in a client-facing technical role where you have shaped solutions and supported delivery.
• Demonstrated success guiding projects from technical discovery to proposal, implementation, and handoff.
• Bachelor’s degree in related field.

Responsibilities

• Lead technical discovery conversations with enterprise prospects seeking data, analytics, and machine learning solutions.
• Design end-to-end solution architectures for forecasting, optimization, anomaly detection, and decision-support use cases.
• Develop proofs-of-concept, solution estimates, and technical narratives that help shape pursuit strategy and accelerate deal closure.
• Own the solution through delivery, ensuring the final implementation aligns with the architecture, outcomes, and commercial commitments.
• Lead cross-functional teams across data science, cloud, and business stakeholders.
• Mentor junior architects, data scientists, and analysts on AI solution design and client communication.

Skills

AI/ML methods

Forecasting

Classification

Anomaly detection

Optimization

Model governance

Executive communication

Cloud platforms

Data platforms

Business storytelling

Education

Bachelor’s degree in related field

Job description

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

We have 5,000+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East 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 that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

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

Job Summary

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

Pre-Sale: Client Engagement & Solution Design

• Partner with sales to lead technical discovery conversations with enterprise prospects seeking data, analytics, and machine learning solutions.
• Translate client challenges into structured classical AI roadmaps covering use-case prioritization, data readiness, model design, deployment, and adoption.
• Design and present end-to-end solution architectures for forecasting, optimization, anomaly detection, recommendation, and decision-support use cases.
• Develop proof-of-concepts, solution estimates, and technical narratives that help shape pursuit strategy and accelerate deal closure.
• Serve as the technical lead in client workshops, answering questions on model performance, explainability, feature engineering, and operationalization.

Post-Sale: Delivery & Client Success

• Own the solution through delivery, ensuring the final implementation aligns with the architecture, outcomes, and commercial commitments made during sale.
• Lead cross-functional teams across data science, cloud, and business stakeholders.
• Advice senior client stakeholders on industrializing classical AI in production environments.
• Identify follow-on opportunities in analytics modernization, model expansion, MLOps, and decision automation.

Capability Building

• Create reusable templates, reference architectures, and delivery playbooks for recurring AI use cases.
• Contribute to internal knowledge assets, client case studies, and go-to-market collateral.
• Mentor junior architects, data scientists, and analysts on AI solution design and client communication.
• Provide feedback to leadership on market demand, delivery lessons, and differentiators.

Required Qualifications

• 12+ years of experience in data, analytics, AI/ML consulting, solution architecture, or enterprise technology delivery.
• Proven experience with enterprise clients across industries such as financial services, retail, manufacturing, healthcare, or industrials.
• Background in a client-facing technical role where you have shaped solutions and supported delivery.
• Demonstrated success guiding projects from technical discovery to proposal, implementation, and handoff.
• Bachelor’s degree in related field.

Technical Skills

• Strong understanding of AI and machine learning methods such as regression, classification, clustering, forecasting, optimization, and anomaly detection.
• Ability to design solutions across cloud platforms, APIs, data platforms, and analytics stacks.
• Working knowledge of model governance, validation, interpretability, and enterprise risk controls.
• Excellent executive communication and storytelling skills, with the ability to make technical tradeoffs clear to business leaders.
• Strong commercial judgment in scoping, estimation, and solution shaping.
• Collaborative mindset and ability to influence across sales, delivery, and technical teams.
• Comfortable working independently in ambiguous environments and building structure where needed.

Why This Role

• You will shape how enterprise clients adopt AI beyond pilots and into production-scale value.
• You will work on high-value use cases where AI drives measurable business outcomes.
• You will have the chance to define delivery standards and reusable solution patterns.
• You will join a practice with global reach, strong analytics depth, and the ability to scale impact across accounts.

Disclaimer:

The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note

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