Forward deployed Engineer

HCLTech is looking for a highly talented and self- motivated Forward deployed Engineer to join it in advancing the technological world through innovation and creativity.Job Title: Forward Deployed Engineer.Job ID: 137552Position Type: Full-timeLocation: Dallas, TXRole/ResponsibilitiesThe 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 partners with senior engineers, and consulting leads to implement scalable, production-ready systems for HCLTech Enterprise customers.FDEs contribute directly to solution delivery-translating defined requirements into working systems, building integrations, and supporting deployments. While primarily focused on engineering execution, the role also operates in client settings, requiring strong collaboration and the ability to support technical discussions with both engineering and business stakeholders.Primary Responsibilities: Solution Implementation & DeliveryBuild and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client 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 and provider 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 deliver integrated 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, ensuring solutions are scalable, supportable, and can be transitioned effectively to production engineering teamsRequired Qualifications:Bachelor's degree in Computer Science, Engineering, Data Science, or related fieldTotal 15+ year of Experience in Client Facing - AI Implementation Cloud platforms Application interfaces as 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 ambiguous problems, developing solution recommendations, and delivering against client or business objectivesDemonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environmentsExperience 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 prioritiesPreferred Qualifications:Master'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 technologiesPay and Benefits:Pay Range Minimum: $123,000 per yearPay Range Maximum: $213,000 per yearHCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.Compensation and BenefitsA candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.How You’ll GrowAt HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.