{"id":4175853,"url":"https://alion.io/job/hcltech-ai-solution-specialist-ii-2","title":"AI Solution Specialist II","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"middle","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":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"MQTT","optional":false},{"name":"OPC UA","optional":false},{"name":"Physical AI","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-12T16:00:31Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T16:00:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nextracted from CTO Architecture excel\nLeads AI solution shaping for strategic pursuits in collaboration with senior engineers, architects, and practice leaders. Defines differentiated solution positioning, value\nKey Responsibilities\nLead strategic AI solution shaping with senior architects/engineers; define differentiated positioning and value levers.\nSkill Requirements\nOther Requirements\nProvided by DUH Jalaj.\nRole Summary\nLead customer-facing presales solutioning for Physical AI opportunities across manufacturing and asset-intensive industries. Translate operational challenges into differentiated Physical AI propositions, architectures, demos, pilots, proposals, estimates and business cases that are secure, scalable and commercially viable.\nKey Responsibilities\nLead discovery, qualification, solution architecture, proposal development, technical validation and deal closure.\nConduct workshops to identify business priorities, plant challenges, data readiness, KPIs, constraints and decision criteria.\nDesign end-to-end architectures across PLC/SCADA/MES/historians, edge compute, data platforms, cloud, AI/ML and enterprise applications.\nCreate customer presentations, solution diagrams, demos, proof-of-concepts and RFI/RFP/RFQ responses.\nOwn assumptions, sizing, effort estimates, bill of materials, licensing inputs, dependencies, risks and delivery handover.\nBuild business cases linked to uptime, OEE, MTTR, productivity, quality, energy and AI deployment velocity.\nCoordinate sales, product, OT, data/AI, cloud, cybersecurity, delivery, finance and partner teams.\nCreate reusable reference architectures, demo assets, discovery questionnaires and proposal components.\nRequired Experience\n10-15 years of relevant experience, including at least 4 years in presales, solution architecture, consulting or customer-facing technical leadership.\nExperience owning complex pursuits from discovery and architecture through estimation, proposal, presentation and technical closure.\nIndustry exposure in manufacturing, automotive, process industries, energy, utilities, oil and gas, logistics or other asset-intensive sectors.\nExperience shaping pilots and production-scale solutions across plants, lines, assets or geographies.\nAbility to engage confidently with CIO/CDO teams, manufacturing IT/OT leaders, plant stakeholders, architects and procurement.\nEssential Skills\nIndustrial systems and architecture: ISA-95/ISA-88, PLC, SCADA, MES, historians, CMMS, ERP and industrial data flows.\nConnectivity: OPC UA, MQTT, Modbus, REST/SQL, edge gateways and protocol conversion.\nEdge and cloud: containers, Kubernetes, CPU/GPU edge environments, observability, remote management and hybrid deployment.\nData and AI: time-series data, event streaming, lakehouse patterns, metadata, lineage, data quality, semantic models, knowledge graphs, MLOps, RAG, vector databases and AI agents.\nCloud depth in at least one of Microsoft Azure, AWS or Google Cloud.\nSecurity fundamentals across identity, segmentation, encryption, API security, auditability, data residency and OT cybersecurity.\nStrong discovery, whiteboarding, demo storytelling, proposal writing, estimation, commercial awareness and executive 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