{"id":3587663,"url":"https://alion.io/job/pwc-uk-generative-ai-software-engineer-senior-associate","title":"Generative AI -Software Engineer-Senior Associate","company":{"id":714797,"name":"PwC UK","domain":"pwc.co.uk","url":"https://alion.io/company/pwc-6","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":120,"ghost_share":0,"stale_share":0.725,"repost_share":0.025,"time_to_fill_p50_days":15,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Asyncio","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"WebSockets","optional":false}],"status":"live","first_seen_at":"2026-11-01T14:28:35Z","employer_posted_date":"2026-11-01","last_verified_at":"2026-11-04T10:51:21Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Industry/Sector\nNot ApplicableSpecialism\nData, Analytics & AIManagement Level\nSenior AssociateJob Description & Summary\nThe Opportunity\nJoin our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.\nAs a Generative AI Software Engineer, you will design and develop data-driven solutions that transform raw information into actionable insights and support business decisions within our Data and Analytics Engineering practice. As a Senior Associate you will build meaningful client connections, navigate complex workstreams, mentor junior team members, and apply critical thinking as you deliver assigned work with a focus on quality, technical growth, and adapting to changing client needs.\nIn this role at PwC Acceleration Center Bangalore, you will contribute to exploratory and descriptive analysis, statistical modeling, and data visualization efforts that support generative AI and broader analytics initiatives. You will also draw on tools, methodologies, and techniques to solve problems, interpret data, and translate business context into clear deliverables while developing your personal brand and expanding your technical skills.\nResponsibilities\n- Collaborate with cross-functional teams to understand business needs and translate them into backend functionalities for GenAI and Agentic AI projects.\n- Design, develop, and maintain scalable backend solutions, including event-driven architectures and integration with external systems/APIs.\n- Manage data storage solutions using relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases to support AI applications in production.\n- Utilize containerization (Kubernetes) and implement DevOps practices, including CI/CD pipelines (Azure DevOps, GitHub Actions), for efficient deployment and scalability.\n- Build and integrate APIs using Python frameworks (Flask, FastAPI) and collaborate with data scientists, engineers, and DevOps teams 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