Senior Forward Deployed Engineer (AI)

MathCo is an AI and analytics consultancy headquartered in Chicago with a major hub in Bangalore. We help global enterprises turn data, analytics, and AI into measurable business outcomes, with over 2,000 projects delivered across industries. We don't stop at strategy: we build what we design, and we measure what we build.Forward Deployed Engineering is our answer to how AI is changing consulting. The highest leverage person is no longer a project manager, an architect, a data scientist, or a developer. It is the one person who connects all of these while staying closest to the customer's problem.About the RoleAI is changing how consulting delivers value.At MathCo, our Forward Deployed Engineers sit at the intersection of business strategy, AI, software engineering, and client delivery. They are not specialists working within a narrow function. They are end-to-end problem solvers who partner directly with clients to transform ambiguous challenges into deployed, measurable outcomes.As a Senior Forward Deployed Engineer (AI), you will embed with client teams, understand their business problems, architect scalable solutions, build production-ready systems, and guide adoption through deployment and handoff. You will serve as the primary technical owner throughout the engagement lifecycle, ensuring every decision remains tied to business value.You will operate across AI, data, cloud, software engineering, and stakeholder management to deliver solutions that clients trust and scale.Our approach begins with a simple principle:Outcome → User → Workflow → Decision → Data → Intelligence → Action → ValueKey ResponsibilitiesBusiness Discovery & Problem FramingCollaborate closely with client stakeholders to understand business objectives, workflows, and decision-making processes.Identify opportunities where AI, analytics, and data-driven solutions can create measurable impact.Separate assumptions from facts and establish a clear understanding of the problem before solution design begins.Define success metrics and align stakeholders on expected outcomes.Solution ArchitectureDesign scalable, secure, and production-ready architectures aligned with client technology ecosystems.Evaluate technical trade-offs and guide architectural decisions across cloud, data, AI, and application layers.Ensure solution designs account for security, governance, integration, scalability, and operational requirements.Document architectural decisions and implementation approaches clearly.AI & Software DevelopmentDevelop and deploy production-grade AI, analytics, and software solutions using real-world client data.Build reusable, maintainable, and scalable code across the solution stack.Implement GenAI-enabled capabilities, including retrieval-augmented generation (RAG), agentic workflows, evaluation frameworks, and orchestration mechanisms.Validate solution effectiveness through structured testing and measurable performance outcomes.Client Leadership & CommunicationLead discovery workshops, solution reviews, working sessions, and executive presentations.Communicate technical concepts effectively to both business and technical audiences.Proactively identify risks and trade-offs while providing actionable recommendations.Manage scope, priorities, timelines, and stakeholder expectations throughout the engagement.Delivery & HandoverCreate comprehensive transition packages, including:Solution architecture documentationOperational runbooksValidation and testing evidenceDeployment guidelinesKnowledge transfer materialsEnsure successful adoption by client teams and support transition to production ownership.Continue providing architectural guidance during scaling and implementation.AI-Enabled Delivery ExcellenceLeverage AI tools, accelerators, and digital agents to improve solution delivery and engineering productivity.Build reusable assets, playbooks, and frameworks that can be applied across engagements.Mentor and guide delivery team members through structured documentation and knowledge-sharing practices.What Success Looks LikeIn this role, success is measured by:Client outcomes delivered and validatedSpeed from problem definition to working solutionAdoption and production readiness of deployed solutionsQuality of architecture and engineering decisionsEffectiveness of stakeholder engagement and communicationSuccessful knowledge transfer and client enablementRequired QualificationsExperience10–15 years of experience designing, building, and deploying software, data, analytics, or AI solutions.Demonstrated ownership of production systems and business-critical deliverables.Experience operating in client-facing or highly collaborative environments.Technical ExpertiseDeep expertise in at least one of the following:AI/ML EngineeringData EngineeringBackend EngineeringWorking knowledge across adjacent domains, including cloud architecture, data platforms, APIs, and front-end technologies.Generative AI ExperienceHands-on experience designing and deploying enterprise GenAI solutions involving:Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)Agentic AI workflowsPrompt and context engineeringAI evaluation and monitoring frameworksResponsible AI implementation practicesCloud & Platform ExperienceStrong experience with one or more of the following:Microsoft AzureAmazon Web Services (AWS)Google Cloud Platform (GCP)DatabricksAbility to work within complex enterprise environments that include legacy systems, modern platforms, and third-party applications.Consulting & Problem SolvingProven experience navigating ambiguity and defining structured solutions.Strong stakeholder management and requirements-gathering skills.Ability to translate business problems into scalable technical solutions.Demonstrated ability to make informed decisions under uncertainty.Communication & LeadershipExceptional verbal and written communication skills.Experience presenting recommendations and technical decisions to senior stakeholders and business leaders.Ability to influence cross-functional teams without direct authority.AI-Native MindsetEnthusiasm for using AI tools and digital assistants to improve productivity and outcomes.Strong learning agility and curiosity about emerging technologies.Ability to operate independently in distributed, remote-first environments.Preferred QualificationsExperience in consulting, solutions engineering, customer engineering, or forward deployed engineering roles.Experience delivering AI transformation initiatives at enterprise scale.Industry expertise in one or more of the following sectors:Consumer Packaged Goods (CPG)RetailLife Sciences & PharmaceuticalsManufacturingFinancial ServicesExperience delivering fixed-scope, outcome-based, or value-based engagements.Experience leading distributed teams and managing project execution through architecture documents, ADRs, runbooks, and implementation playbooks.Why Join MathCo?Solve complex, high-impact enterprise problems using AI and advanced analytics.Work directly with senior business and technology leaders.Own the full lifecycle from problem definition to deployment.Partner with some of the world's leading organizations on transformative initiatives.Help shape the future of AI-enabled consulting and engineering.Being a MathemagicianEmbody MathCo's culture of ownership, excellence, and impact.Actively contribute to company growth initiatives while fostering a collaborative and innovative environment.Demonstrate curiosity, agility, and a continuous learning mindset.Support diversity, equity, inclusion, and belonging by valuing different perspectives and ideas.Create positive experiences for candidates, colleagues, clients, and stakeholders in every interaction.Recognitions & AwardsLeader in Top Generative AI Service Providers, PeMa Quadrant 2023 (AIMResearch)Recognized among Inspiring Workplaces in North America, 2023Accredited for Inclusive Practices by Great Place to Work® Institute, IndiaBest Workplaces™ for Diversity, Equity, Inclusion & Belonging 2023, Great Place To Work® IndiaFor more information, please visit https://www.mathco.com.