{"id":2568103,"url":"https://alion.io/job/hcltech-senior-solution-architect-8","title":"Senior Solution Architect","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":119000,"max_usd":229000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":672},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"GCP","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-10-14T22:22:56Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T22:22:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nJob Title: Technical Lead - ChatGPT & Generative AI Development\nRole Overview\nWe are looking for a hands-on Technical Lead to own the ChatGPT development track and lead the existing team based in Uruguay. The role combines solution architecture, technical guidance, delivery management, and stakeholder coordination, with accountability for quality and timely delivery across the entire track.\nKey Responsibilities\nOwn end-to-end technical delivery, from requirement clarification and solution design through development, testing, deployment, and production stabilization.\n\nLead and mentor the Uruguay development team, providing technical direction, reviewing code, and resolving blockers.\n\nTranslate business requirements into technical designs, actionable backlog items, estimates, and delivery plans.\n\nDesign and develop enterprise applications using OpenAI APIs, conversational interfaces, and integrations with business systems.\n\nGuide implementation of retrieval-augmented generation (RAG), tool/function calling, workflow orchestration, and conversation management.\n\nEstablish engineering standards for secure coding, automated testing, CI/CD, documentation, and observability.\n\nDefine evaluation criteria for response quality, reliability, latency, and cost; guide prompt and application improvements.\n\nEnsure appropriate handling of enterprise data, access controls, prompt injection risks, and AI guardrails.\n\nCoordinate with product owners, architects, QA, security, and platform teams to manage dependencies, risks, and releases.\n\nServe as the primary technical point of contact for the track, communicating progress, issues, and decisions to stakeholders.\n\nRequired Skills & Experience\nStrong software development experience, including technical leadership of distributed teams.\n\nHands-on experience building production applications using OpenAI APIs or comparable enterprise LLM platforms.\n\nStrong proficiency in Python and/or JavaScript/TypeScript, REST APIs, backend services, and enterprise integrations.\n\nPractical experience with RAG, embeddings, vector databases, prompt engineering, and LLM evaluation.\n\nExperience with cloud platforms, application security, CI/CD, and production monitoring.\n\nAbility to make architectural decisions, troubleshoot complex issues, and balance quality, performance, and cost.\n\nStrong communication, mentoring, planning, and stakeholder management skills.\n\nAbility to coordinate effectively across time zones, with working-hour overlap with the Uruguay team.\n\nPreferred Skills\nExperience with enterprise conversational AI, agentic workflows, and responsible AI practices.\n\nExperience with React or similar frameworks for conversational application interfaces.\n\nFamiliarity with AI security and guardrail solutions, including Google Cloud Model Armor or equivalent.\n\nSpanish language proficiency is an advantage.\n\nSuggested Experience: 8+ years in software development, including 2+ years in technical leadership and demonstrated delivery of GenAI applications.\nKey Responsibilities\nJob Title: Technical Lead - ChatGPT & Generative AI Development\nRole Overview\nWe are looking for a hands-on Technical Lead to own the ChatGPT development track and lead the existing team based in Uruguay. The role combines solution architecture, technical guidance, delivery management, and stakeholder coordination, with accountability for quality and timely delivery across the entire track.\nKey Responsibilities\nOwn end-to-end technical delivery, from requirement clarification and solution design through development, testing, deployment, and production stabilization.\n\nLead and mentor the Uruguay development team, providing technical direction, reviewing code, and resolving blockers.\n\nTranslate business requirements into technical designs, actionable backlog items, estimates, and delivery plans.\n\nDesign and develop enterprise applications using OpenAI APIs, conversational interfaces, and integrations with business systems.\n\nGuide implementation of retrieval-augmented generation (RAG), tool/function calling, workflow orchestration, and conversation management.\n\nEstablish engineering standards for secure coding, automated testing, CI/CD, documentation, and observability.\n\nDefine evaluation criteria for response quality, reliability, latency, and cost; guide prompt and application improvements.\n\nEnsure appropriate handling of enterprise data, access controls, prompt injection risks, and AI guardrails.\n\nCoordinate with product owners, architects, QA, security, and platform teams to manage dependencies, risks, and releases.\n\nServe as the primary technical point of contact for the track, communicating progress, issues, and decisions to stakeholders.\n\nRequired Skills & Experience\nStrong software development experience, including technical leadership of distributed teams.\n\nHands-on experience building production applications using OpenAI APIs or comparable enterprise LLM platforms.\n\nStrong proficiency in Python and/or JavaScript/TypeScript, REST APIs, backend services, and enterprise integrations.\n\nPractical experience with RAG, embeddings, vector databases, prompt engineering, and LLM evaluation.\n\nExperience with cloud platforms, application security, CI/CD, and production monitoring.\n\nAbility to make architectural decisions, troubleshoot complex issues, and balance quality, performance, and cost.\n\nStrong communication, mentoring, planning, and stakeholder management skills.\n\nAbility to coordinate effectively across time zones, with working-hour overlap with the Uruguay team.\n\nPreferred Skills\nExperience with enterprise conversational AI, agentic workflows, and responsible AI practices.\n\nExperience with React or similar frameworks for conversational application interfaces.\n\nFamiliarity with AI security and guardrail solutions, including Google Cloud Model Armor or equivalent.\n\nSpanish language proficiency is an advantage.\n\nSuggested Experience: 8+ years in software development, including 2+ years in technical leadership and demonstrated delivery of GenAI applications.\nSkill Requirements\nJob Title: Technical Lead - ChatGPT & Generative AI Development\nRole Overview\nWe are looking for a hands-on Technical Lead to own the ChatGPT development track and lead the existing team based in Uruguay. The role combines solution architecture, technical guidance, delivery management, and stakeholder coordination, with accountability for quality and timely delivery across the entire track.\nKey Responsibilities\nOwn end-to-end technical delivery, from requirement clarification and solution design through development, testing, deployment, and production stabilization.\n\nLead and mentor the Uruguay development team, providing technical direction, reviewing code, and resolving blockers.\n\nTranslate business requirements into technical designs, actionable backlog items, estimates, and delivery plans.\n\nDesign and develop enterprise applications using OpenAI APIs, conversational interfaces, and integrations with business systems.\n\nGuide implementation of retrieval-augmented generation (RAG), tool/function calling, workflow orchestration, and conversation management.\n\nEstablish engineering standards for secure coding, automated testing, CI/CD, documentation, and observability.\n\nDefine evaluation criteria for response quality, reliability, latency, and cost; guide prompt and application improvements.\n\nEnsure appropriate handling of enterprise data, access controls, prompt injection risks, and AI guardrails.\n\nCoordinate with product owners, architects, QA, security, and platform teams to manage dependencies, risks, and releases.\n\nServe as the primary technical point of contact for the track, communicating progress, issues, and decisions to stakeholders.\n\nRequired Skills & Experience\nStrong software development experience, including technical leadership of distributed teams.\n\nHands-on experience building production applications using OpenAI APIs or comparable enterprise LLM platforms.\n\nStrong proficiency in Python and/or JavaScript/TypeScript, REST APIs, backend services, and enterprise integrations.\n\nPractical experience with RAG, embeddings, vector databases, prompt engineering, and LLM evaluation.\n\nExperience with cloud platforms, application security, CI/CD, and production monitoring.\n\nAbility to make architectural decisions, troubleshoot complex issues, and balance quality, performance, and cost.\n\nStrong communication, mentoring, planning, and stakeholder management skills.\n\nAbility to coordinate effectively across time zones, with working-hour overlap with the Uruguay team.\n\nPreferred Skills\nExperience with enterprise conversational AI, agentic workflows, and responsible AI practices.\n\nExperience with React or similar frameworks for conversational application interfaces.\n\nFamiliarity with AI security and guardrail solutions, including Google Cloud Model Armor or equivalent.\n\nSpanish language proficiency is an advantage.\n\nSuggested Experience: 8+ years in software development, including 2+ years in technical leadership and demonstrated delivery of GenAI applications.\nOther 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