Senior Solutions Architect

Job Title: Solutions architectJob SummaryThe Forward Deployed Engineer (FDE) is a hands-on engineering role focused on building and deploying AI-powered solutions within client environments. Working as part of client-facing delivery teams, this role partnerswith senior engineers, and consulting leads to implement scalable, production-ready systems for HCLTechEnterprise customers.FDEs contribute directly to solution delivery-translating defined requirements into working systems, buildingintegrations, and supporting deployments. While primarily focused on engineering execution, the role alsooperates in client settings, requiring strong collaboration and the ability to support technical discussions withboth engineering and business stakeholders.Key ResponsibilitiesSolution Implementation & DeliveryBuild and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools inclient environmentsImplement integrations between AI models, APIs, and enterprise healthcare systemsTranslate defined solution designs into high-quality, production-ready codeContribute to end-to-end delivery by supporting development, testing, and deployment activitiesHands-on EngineeringDevelop solution components using modern programming languages (e.g.,Python, Python API, Java,SQL) and engineering frameworksWork with distributed systems and cloud platforms to support scalable, reliable deploymentsAssist with data preparation, prompt configuration, and model integration for AI-driven solutionsTroubleshoot and resolve technical issues during development and deploymentClient Delivery SupportWork alongside senior engineers and consulting leads in client engagements across healthcare payer andprovider organizationsSupport technical discussions and working sessions with client stakeholdersHelp execute on defined project plans, timelines, and deliverablesContribute to iterative development cycles, incorporating client and team feedbackCollaboration & TranslationPartner with cross-functional teams, including engineering, platform, and product teams, to deliverintegrated solutionsTranslate technical requirements into actionable development tasksCommunicate progress, risks, and technical considerations clearly within the teamSupport alignment between technical implementation and client expectationsDocumentation & Knowledge TransferDocument solution components, integration points, and deployment processesSupport knowledge transfer to client technical teams to enable adoption and sustainabilityContribute to reusable implementation patterns, assets, and playbooksSuccess MeasuresDelivers high-quality solution components that meet performance, reliability, and security expectationsContributes effectively to end-to-end client delivery effortsDemonstrates strong execution in translating requirements into working systemsCommunicates clearly within teams and supports client delivery activitiesBuilds capability in both technical implementation and client engagement over

timeDemonstrates the ability to design and develop prototypes with a clear path to production, ensuringsolutions are scalable, supportable, and can be transitioned effectively to production engineering teamsSkill RequirementsBachelor’s degree in Computer Science, Engineering, Data Science, or related fieldTotal 15+ year of Experience in Client Facing - AI Implementation Cloud platforms Application interfacesas Solution Architect.5+ years of proficient experience in at least one programming language (e.g., Python, Python APIs, Java,SQL)4+ years of experience operating in a consulting or advisory capacity, including structuring ambiguousproblems, developing solution recommendations, and delivering against client or business objectivesDemonstrated experience working in client-facing engagements, including partnering directly withstakeholders to understand needs, communicate solutions, and support delivery in real-worldenvironmentsExperience working with APIs, data pipelines, or distributed systemsFamiliarity with cloud platforms (e.g., AWS, Azure, or GCP)Exposure to AI/ML concepts, including LLMs and prompt engineeringDemonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity toolsAbility to work effectively in client-facing delivery environmentsSolid collaboration skills and ability to operate within structured project teamsClear communication skills for working with both technical and non-technical stakeholdersAbility to execute against defined requirements and evolving prioritiesOther RequirementsMaster’s degree in a technical discipline (AI/ML, Data Science, Software Engineering)Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims,utilization management, care delivery, revenue cycle)Familiarity with healthcare data considerations (e.g., privacy, compliance) is a plusSolid execution focus with attention to detail and code qualityAbility to work in fast-paced environments with multiple prioritiesWillingness to take ownership of assigned components and deliver reliablyContinuous learning mindset, particularly in AI and emerging technologies