{"id":2521539,"url":"https://alion.io/job/hcltech-technical-specialist-93","title":"Technical Specialist","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":"Sales","role_family":"Sales","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AgentOps","optional":false},{"name":"AI Agents","optional":false},{"name":"Google ADK","optional":false},{"name":"LangGraph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-14T11:08:25Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T12:22:48Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Summary\nTECHNICAL JOB DESCRIPTION\nUse Gemini Enterprise Agent Platform (GEAP) Enterprise Integration & To..., A2A), Agent development Framework - ADK, Langgraph, Memory Architecture & State Management Agent Ops to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.\nUse Experience working in healthcare and lifesciences customers to implement domain-specific processes, rules, standards, and validations covering the required scope.\nApply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.\nEnsure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.\nCollaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.\nKeep technical documentation, runbooks, and configuration artifacts current for the tools and platforms used.\nDemonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.\nMaintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.\nFollow approved designs and engineering standards while using the above tools on assigned tasks.\nFUNCTIONAL JOB DESCRIPTION\nAnalyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.\nTranslate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.\nFacilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.\nMaintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.\nSupport stakeholder discussions, clarify assigned requirements, and escalate risks early.\nSupport release readiness, user enablement, knowledge transfer, and post-go-live stabilization.\nDemonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.\nBring approximately 8-15 yrs of relevant industry experience aligned to the Regular Engineer band, with a track record of delivery in similar engagements.\nApply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.\nKey Responsibilities\nTECHNICAL JOB DESCRIPTION\nUse Gemini Enterprise Agent Platform (GEAP) Enterprise Integration & To..., A2A), Agent development Framework - ADK, Langgraph, Memory Architecture & State Management Agent Ops to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.\nUse Experience working in healthcare and lifesciences customers to implement domain-specific processes, rules, standards, and validations covering the required scope.\nApply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.\nEnsure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.\nCollaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.\nKeep technical documentation, runbooks, and configuration artifacts current for the tools and platforms used.\nDemonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.\nMaintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.\nFollow approved designs and engineering standards while using the above tools on assigned tasks.\nFUNCTIONAL JOB DESCRIPTION\nAnalyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.\nTranslate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.\nFacilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.\nMaintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.\nSupport stakeholder discussions, clarify assigned requirements, and escalate risks early.\nSupport release readiness, user enablement, knowledge transfer, and post-go-live stabilization.\nDemonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.\nBring approximately 8-15 yrs of relevant industry experience aligned to the Regular Engineer band, with a track record of delivery in similar engagements.\nApply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.\nSkill Requirements\nGemini Enterprise Agent Platform (GEAP) Enterprise Integration & Tooling Protocols (MCP, A2A),\nAgent development Framework - ADK, Langgraph, Memory Architecture & State Management Agent Ops\nExperience working in healthcare and lifesciences customers\nTECHNICAL JOB DESCRIPTION\nUse Gemini Enterprise Agent Platform (GEAP) Enterprise Integration & To..., A2A), Agent development Framework - ADK, Langgraph, Memory Architecture & State Management Agent Ops to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.\nUse Experience working in healthcare and lifesciences customers to implement domain-specific processes, rules, standards, and validations covering the required scope.\nApply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.\nEnsure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.\nCollaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.\nKeep technical documentation, runbooks, and configuration artifacts current for the tools and platforms used.\nDemonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.\nMaintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.\nFollow approved designs and engineering standards while using the above tools on assigned tasks.\nFUNCTIONAL JOB DESCRIPTION\nAnalyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.\nTranslate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.\nFacilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.\nMaintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.\nSupport stakeholder discussions, clarify assigned requirements, and escalate risks early.\nSupport release readiness, user enablement, knowledge transfer, and post-go-live stabilization.\nDemonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.\nBring approximately 8-15 yrs of relevant industry experience aligned to the Regular Engineer band, with a track record of delivery in similar engagements.\nApply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this engagement.\nOther Requirements\nTECHNICAL JOB DESCRIPTION\nUse Gemini Enterprise Agent Platform (GEAP) Enterprise Integration & To..., A2A), Agent development Framework - ADK, Langgraph, Memory Architecture & State Management Agent Ops to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.\nUse Experience working in healthcare and lifesciences customers to implement domain-specific processes, rules, standards, and validations covering the required scope.\nApply sound software engineering, configuration, and quality practices aligned to organizational standards for the above scope.\nEnsure adherence to secure coding, data handling, and access-control practices relevant to the platforms used in this demand.\nCollaborate with architects and peer engineers to validate design choices and technical trade-offs for the above tools.\nKeep technical documentation, runbooks, and configuration artifacts current for the tools and platforms used.\nDemonstrate strong analytical, debugging, and problem-solving skills across the above tools and platforms.\nMaintain current proficiency, certifications, or hands-on practice on the primary tools listed for this role.\nFollow approved designs and engineering standards while using the above tools on assigned tasks.\nFUNCTIONAL JOB DESCRIPTION\nAnalyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations.\nTranslate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables.\nFacilitate requirement reviews, solution walkthroughs, demonstrations, UAT coordination, and business sign-off.\nMaintain functional specifications, process flows, decisions, risks, dependencies, and status reporting.\nSupport stakeholder discussions, clarify assigned requirements, and escalate risks early.\nSupport release readiness, user enablement, knowledge transfer, and post-go-live stabilization.\nDemonstrate strong verbal and written communication skills to engage client stakeholders, business users, and cross-functional delivery teams.\nBring approximately 8-15 yrs of relevant industry experience aligned to the Regular Engineer band, with a track record of delivery in similar engagements.\nApply working knowledge of AI domain standards, compliance expectations, and business processes relevant to this 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