{"id":4150987,"url":"https://alion.io/job/accenture-ai-infrastructure-architect-18","title":"AI Infrastructure 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":2137,"ghost_share":0.001,"stale_share":0.182,"repost_share":0.007,"time_to_fill_p50_days":5,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","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":18,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"Anomaly Detection","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"CUDA","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"Digital Twin","optional":true},{"name":"Feature Store","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"HPC","optional":true},{"name":"JAX","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"MLFlow","optional":true},{"name":"MPI","optional":true},{"name":"NLP","optional":true},{"name":"NumPy","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SciPy","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true},{"name":"Time Series","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-11-11T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T09:11:41Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Project Role : AI Infrastructure ArchitectProject Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.\nMust have skills : Machine Learning (ML)\nGood to have skills : Microsoft Azure Data Services, Databricks Unified Data Analytics Platform\nMinimum 18 year(s) of experience is required\nEducational Qualification : 15 years full time education\nSummary:\nAI Powered Tech Talent\nRole Summary / Description\nTechnical Architect role in AI/ML Computational Science focused on designing and leading enterprise-scale scientific AI, simulation intelligence, computational modeling, optimization, and ML-enabled engineering solutions on Databricks Lakehouse.\nRole scope: As a Technical Architect, you will own solution architecture, define engineering standards, shape complex programs, lead technical teams, and influence senior business and technology stakeholders.\nThe role translates complex scientific and engineering problems into scalable AI/ML, computational science, simulation, optimization, and data architecture solutions that can be reused across industries and client programs.\nKey Responsibilities\nLead the end-to-end architecture for AI/ML computational science solutions, including scientific data ingestion, simulation data pipelines, feature engineering, model development, deployment, and monitoring.\nDefine technical direction for scientific AI, physics-informed ML, surrogate models, optimization algorithms, uncertainty quantification, generative AI for scientific workflows, and accelerated computing patterns.\nOwn architecture decisions across compute, storage, orchestration, MLOps, model governance, security, observability, performance, cost optimization, and integration with enterprise platforms.\nPartner with client scientists, engineers, product owners, data architects, cloud engineers, and delivery leads to convert complex domain problems into practical AI/ML computational solutions.\nLead design reviews, architecture governance, technical risk assessment, solution estimation, implementation planning, and quality assurance for large and complex programs.\nGuide engineering teams on reusable reference architectures, accelerators, coding standards, model lifecycle practices, and production readiness expectations.\nMake and defend the business and technical case for computational science architectures with senior stakeholders, including value, feasibility, scalability, maintainability, and responsible AI considerations.\nSupport sales and pre-sales by shaping client solution narratives, technical proposals, demos, proofs of concept, and industry-specific AI/ML computational science offerings.\nDrive thought leadership and asset development around scientific AI, simulation intelligence, digital twins, agentic workflows, generative AI, and cloud-native scientific computing.\nRequired Qualifications\nBachelor's degree or equivalent in Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Computational Science, Data Science, or a related field.\nMinimum 8 years of experience in AI/ML, data science, computational science, scientific software engineering, simulation analytics, or quantitative engineering solutions.\nMinimum 5 years of experience architecting and delivering enterprise-scale AI/ML, data, cloud, or high-performance computational platforms.\nMinimum 4 years of experience with Python and scientific/ML frameworks such as NumPy, SciPy, pandas, scikit-learn, PyTorch, TensorFlow, JAX, XGBoost, or similar libraries.\nMinimum 3 years of experience with MLOps or production ML practices including experiment tracking, model registry, CI/CD, feature stores, testing, monitoring, and lifecycle governance.\nMinimum 3 years of experience with scalable data engineering, distributed compute, workflow orchestration, APIs, batch/stream processing, and cloud-native deployment patterns.\nMinimum 4 years of experience leading technical teams, reviewing architecture, guiding delivery, and communicating technical trade-offs to senior business and technology stakeholders.\nRequired Skills/ Experience\nStrong architecture knowledge across AI/ML solution design, computational science workflows, numerical modeling, optimization, simulation data management, scientific data products, and model deployment patterns.\nHands-on experience with Python, SQL, Git, containers, APIs, orchestration tools, distributed processing, and engineering practices for robust, reusable, maintainable software.\nExperience with ML approaches relevant to computational science, including surrogate modeling, physics-informed ML, optimization, time series, anomaly detection, computer vision, NLP, generative AI, and uncertainty-aware modeling.\nPractical knowledge of MLOps, model governance, responsible AI, security, data privacy, observability, model performance monitoring, and production support models.\nAbility to work with domain experts and convert scientific concepts, equations, simulation outputs, experimental data, and engineering constraints into AI/ML design patterns.\nStrong collaboration and stakeholder management skills with the ability to lead distributed teams across engineering, research, product, client, and delivery groups.\nIndustry experience applying Databricks-enabled AI/ML computational science and lakehouse solutions in domains such as life sciences, healthcare, energy, utilities, manufacturing, chemicals, materials, aerospace, automotive, financial services, or public sector research.\n5+ years of hands-on Databricks experience across lakehouse architecture, AI/ML workflows, scientific data engineering, distributed analytics, and enterprise integration.\nExperience with Databricks Lakehouse, Delta Lake, Unity Catalog, Workflows, notebooks, jobs, MLflow, Feature Store, Mosaic AI, vector search, Spark, and integration with AWS, Azure, or GCP services.\nAbility to architect Databricks-based workflows for scientific data pipelines, simulation feature engineering, surrogate modeling, optimization loops, ML lifecycle management, and governed deployment.\nGood to Have Skills\nAdvanced degree such as Master's or Ph.D. in Computer Science, Computational Science, Applied Mathematics, Physics, Engineering, Operations Research, Statistics, or a related field.\nExternal client-facing consulting experience in architecture, advisory, delivery leadership, sales, or pre-sales roles.\nExperience with HPC, GPU acceleration, CUDA, MPI, distributed training, workload schedulers, or cloud-based parallel compute patterns.\nExperience with digital twins, scientific foundation models, materials informatics, computational chemistry, bioinformatics, geospatial analytics, industrial optimization, or engineering simulation workflows.\nExperience creating reusable accelerators, reference architectures, implementation playbooks, technical whitepapers, or industry-specific solution assets.\nCloud, data, AI/ML, MLOps, or professional architecture certifications relevant to the selected platform.\nExperience with agentic AI workflows, RAG, vector search, knowledge graphs, semantic layers, or scientific knowledge management.\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. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.","description_format":"text","description_chars":9145,"description_truncated":false,"requirements":{"experience_years_min":18,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Systems Integrators","Business Process Outsourcing (BPO)","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-11-12T09:11:41Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":5,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-12T10:38:37Z"},"pay":null,"html_url":"https://alion.io/job/accenture-ai-infrastructure-architect-18","json_url":"https://alion.io/job/accenture-ai-infrastructure-architect-18.json","meta":{"generated_at":"2026-11-12T10:57:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22431,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":271},"rest":"https://alion.io/mcp/rest/get_company?id=271"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faccenture-ai-infrastructure-architect-18"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Faccenture-ai-infrastructure-architect-18"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Faccenture-ai-infrastructure-architect-18"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/accenture-ai-infrastructure-architect-18\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faccenture-ai-infrastructure-architect-18"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4150987}},{"tool":"search_jobs","arguments":{"company":"accenture.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4150987},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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