{"id":1609060,"url":"https://alion.io/job/accenture-technology-architect-21","title":"Technology Architect","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":1997,"ghost_share":0.002,"stale_share":0.076,"repost_share":0.006,"time_to_fill_p50_days":4,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":true},{"name":"Anomaly Detection","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Computer Vision","optional":true},{"name":"Digital Twin","optional":true},{"name":"Docker","optional":true},{"name":"Edge AI","optional":true},{"name":"Kubernetes","optional":true},{"name":"MQTT","optional":true},{"name":"OPC UA","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true},{"name":"SQL","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"Zero Trust","optional":true}],"status":"live","first_seen_at":"2026-10-01T19:59:33Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-05T23:26:20Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Project Role : Technology ArchitectProject Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.\nMust have skills : Internet of Things (IoT)\nGood to have skills : NA\nMinimum 15 year(s) of experience is required\nEducational Qualification : 15 years full time education\nSummary: We are looking for an IT/OT - Industrial AI - Connectivity Solution Architect / Senior Manager with 15+ years of experience and strong expertise in IT/OT convergence, industrial connectivity, data platforms, edge computing, automation, cybersecurity, and AI-enabled operations. The candidate will lead solution architecture, technical delivery, and client engagement for Smart Manufacturing, Connected Factory, Industrial AI, and Digital Twin programs across Automotive, Aerospace, CPG, Life Sciences, Resources, and Manufacturing. Strong experience is required in secure industrial connectivity, protocols, data contextualization, streaming, edge/cloud integration, architecture governance, global team leadership, PoCs, RFP/RFI responses, technical workshops, and business development.\nRoles and Responsibilities:\nLead architecture and delivery of secure, scalable IT/OT, Industrial AI, plant connectivity, and Smart Manufacturing solutions.\nDefine reference architectures connecting OT assets, PLCs, DCS, SCADA, historians, MES/MOM, edge, enterprise, and cloud platforms.\nAssess brownfield/greenfield environments and define current, target, transition, and deployment architectures.\nTranslate manufacturing needs into connectivity, data, contextualization, integration, analytics, and AI solutions.\nDesign industrial data pipelines for real-time and historical production, quality, maintenance, energy, event, and time-series data.\nLead Industrial AI and Edge AI use cases including predictive maintenance, anomaly detection, quality/process optimization, computer vision, and energy management.\nArchitect industrial connectivity using OPC UA, MQTT, Sparkplug B, Modbus TCP, EtherNet/IP, PROFINET, REST APIs, and vendor interfaces.\nIntegrate OT with MES/MOM, ERP, PLM, WMS, QMS, EAM/APM, IoT, data platforms, Digital Twin, and analytics.\nEstablish standards for asset hierarchy, Unified Namespace, semantic models, contextualization, metadata, and data quality.\nImplement OT cybersecurity and resilient architectures covering segmentation, zones/conduits, identity, encryption, remote access, redundancy, and disaster recovery.\nLead site assessments, PoCs, feasibility studies, workshops, design reviews, vendor evaluations, and demonstrations.\nGovern architecture, integration, testing, DevSecOps/MLOps, documentation, risks, dependencies, quality, and multi-site delivery.\nProvide technical leadership across IT/OT, automation, data, AI, cloud, and cybersecurity teams, including client engagements, RFP/RFI, proposals, estimation, and partner coordination.\nDevelop reusable frameworks, accelerators, reference architectures, and deployment patterns that deliver measurable improvements in downtime, quality, throughput, cost, energy efficiency, and scalability.\nProfessional and Technical Skills:\nStrong hands-on expertise in industrial IT/OT architecture, factory connectivity, manufacturing integration, edge computing, industrial data engineering, and Industrial AI is mandatory.\nDeep knowledge of OT systems including PLC, DCS, SCADA, HMI, historians, industrial gateways, machine controllers, sensors, drives, robots, and vision systems.\nAdvanced knowledge of OPC UA, MQTT, Sparkplug B, Modbus TCP, EtherNet/IP, PROFINET, REST, AMQP, Kafka, and industrial/vendor connectivity patterns.\nStrong understanding of Purdue/ISA-95 architecture, industrial network segmentation, DMZ patterns, zones and conduits, and enterprise-to-plant integration.\nExperience designing high-availability industrial networks and edge architectures with firewalls, switches, routing, VLANs, redundancy, time synchronization, and secure remote access.\nStrong understanding of IEC 62443, NIST Cybersecurity Framework, zero-trust principles, asset inventory, identity and access management, certificate management, patching, and vulnerability management.\nExperience with industrial connectivity and data platforms from Siemens, Rockwell Automation, Schneider Electric, Honeywell, ABB, PTC, Microsoft, AWS, NVIDIA, or equivalent ecosystems.\nExperience with edge and IoT platforms, containerized workloads, Kubernetes, Docker, APIs, message brokers, streaming platforms, and hybrid-cloud architectures.\nStrong experience integrating OT data with MES/MOM, ERP, PLM, WMS, QMS, EAM/APM, historians, data lakes, lakehouses, Digital Twin, and analytics platforms.\nStrong knowledge of industrial data modelling, asset hierarchies, Unified Namespace concepts, semantic models, contextualization, time-series data, event processing, and data governance.\nExperience designing Industrial AI/ML solutions covering data preparation, feature engineering, training, deployment, inference, monitoring, retraining, and responsible AI controls.\nExperience with Python, SQL, REST APIs, scripting, data engineering, analytics, and integration automation is preferred.\nUnderstanding of AI/ML, deep learning, anomaly detection, predictive models, optimization, computer vision, GenAI, and retrieval-oriented industrial knowledge solutions.\nStrong understanding of Digital Twin, Industry 4.0, smart manufacturing, connected operations, virtual commissioning, and closed-loop optimization concepts.\nExperience with observability and operations covering device health, connectivity status, data quality, pipeline monitoring, model performance, logging, alerting, and support processes.\nKnowledge of manufacturing operations, production systems, maintenance, quality, material flow, utilities, energy management, and industrial engineering.\nStrong solution architecture, system design, analytical, troubleshooting, problem-solving, and technical decision-making skills.\nStrong understanding of SDLC, Agile, DevSecOps, DataOps, MLOps, project delivery, technical governance, quality management, and change control.\nExcellent client-facing communication, executive stakeholder management, workshop facilitation, presentation, and technical documentation skills.\nProven experience leading global and distributed teams and coordinating industrial OEMs, automation vendors, network providers, cloud providers, and delivery partners.\nStrong experience in solution design, PoCs, feasibility studies, technical assessments, site surveys, RFP/RFI responses, effort estimation, and proposal development.\nStrong understanding of Automotive, Aerospace, CPG, Life Sciences, Resources, Utilities, or General Manufacturing domains.\nAbility to convert architecture and Industrial AI insights into actionable recommendations, scalable rollout patterns, and quantified business outcomes.\nAdditional Information:\nExperience: 15+ years of overall experience with significant expertise in industrial IT/OT, manufacturing connectivity, automation, industrial data, edge computing, cybersecurity, and Industrial AI.\nLocation: Bengaluru, India.\nTravel: Willingness to travel internationally and to client manufacturing sites based on project requirements.\nTeam Leadership: Proven experience leading technical and multidisciplinary teams across OT, IT, data, AI, cloud, networking, and cybersecurity.\nEducation: Bachelor s or Master s degree in Electrical Engineering, Electronics and Communication, Instrumentation, Automation, Control Systems, Computer Science, Information Technology, Mechatronics, or a related discipline.\nPreferred Certifications: IEC 62443, ISA-95, cloud architecture, networking, cybersecurity, industrial automation, data engineering, AI/ML, Kubernetes, PMP/PMI, or relevant vendor certifications.\nCore Focus Areas: IT/OT Convergence Industrial AI Plant Connectivity Edge Computing Industrial Data OPC UA MQTT Unified Namespace MES/MOM Integration OT Cybersecurity Digital Twin Smart Manufacturing Industry 4.0\n15 years full time educationAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. 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