{"id":3150330,"url":"https://alion.io/job/hcltech-technical-specialist-145","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":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-23T11:53:27Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-24T17:33:32Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary\nTECHNICAL JOB DESCRIPTION\nUse Vertex AI Model Garden. Proven expertise in Python development, Flask, Django. Solid understanding of API development principles and best... to build, code, and unit-test solution components using the required scope, supported by Developer.\nUse Strong understanding of generative AI concepts and techniques. Hand..., Vertex AI Pipelines to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.\nUse Docker, Kubernetes. Knowledge of cloud infrastructure and DevOps practices to design, provision, configure, migrate, and tune platform components using the required scope.\nApply including experience with relevant frameworks e.g as additional skill requirements for this demand.\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.\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.\nOwn technical design decisions, code and configuration reviews, and standards for the above tools.\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.\nLead stakeholder alignment, prioritization, and cross-team dependency resolution.\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 7 to 10 years of relevant industry experience aligned to the Senior 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 Vertex AI Model Garden. Proven expertise in Python development, Flask, Django. Solid understanding of API development principles and best... to build, code, and unit-test solution components using the required scope, supported by Developer.\nUse Strong understanding of generative AI concepts and techniques. Hand..., Vertex AI Pipelines to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.\nUse Docker, Kubernetes. Knowledge of cloud infrastructure and DevOps practices to design, provision, configure, migrate, and tune platform components using the required scope.\nApply including experience with relevant frameworks e.g as additional skill requirements for this demand.\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.\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.\nOwn technical design decisions, code and configuration reviews, and standards for the above tools.\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.\nLead stakeholder alignment, prioritization, and cross-team dependency resolution.\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 7 to 10 years of relevant industry experience aligned to the Senior 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\nStrong understanding of generative AI concepts and techniques. Hands-on experience with Google Cloud's Vertex AI platform and its related tools (e.g., Vertex AI Pipelines, Vertex AI Model Garden). Proven expertise in Python development, including experience with relevant frameworks (e.g., Flask, Django). Solid understanding of API development principles and best practices. Familiarity with OpenAPI standards for API design and documentation. Excellent problem-solving and debugging skills. Strong communication and collaboration skills. Experience with containerization technologies (e.g., Docker, Kubernetes). Knowledge of cloud infrastructure and DevOps practices.\nTECHNICAL JOB DESCRIPTION\nUse Vertex AI Model Garden. Proven expertise in Python development, Flask, Django. Solid understanding of API development principles and best... to build, code, and unit-test solution components using the required scope, supported by Developer.\nUse Strong understanding of generative AI concepts and techniques. Hand..., Vertex AI Pipelines to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.\nUse Docker, Kubernetes. Knowledge of cloud infrastructure and DevOps practices to design, provision, configure, migrate, and tune platform components using the required scope.\nApply including experience with relevant frameworks e.g as additional skill requirements for this demand.\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.\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.\nOwn technical design decisions, code and configuration reviews, and standards for the above tools.\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.\nLead stakeholder alignment, prioritization, and cross-team dependency resolution.\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 7 to 10 years of relevant industry experience aligned to the Senior 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 Vertex AI Model Garden. Proven expertise in Python development, Flask, Django. Solid understanding of API development principles and best... to build, code, and unit-test solution components using the required scope, supported by Developer.\nUse Strong understanding of generative AI concepts and techniques. Hand..., Vertex AI Pipelines to design, develop, evaluate, and operationalize AI/agentic capabilities using the required scope.\nUse Docker, Kubernetes. Knowledge of cloud infrastructure and DevOps practices to design, provision, configure, migrate, and tune platform components using the required scope.\nApply including experience with relevant frameworks e.g as additional skill requirements for this demand.\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.\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.\nOwn technical design decisions, code and configuration reviews, and standards for the above tools.\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.\nLead stakeholder alignment, prioritization, and cross-team dependency resolution.\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 7 to 10 years of relevant industry experience aligned to the Senior 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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