{"id":1254488,"url":"https://alion.io/job/weekday-buisness-analyst-data","title":"Buisness Analyst & Data","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":84,"ghost_share":0,"stale_share":0.976,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":54000,"period":"year","method":null,"sample_n":3250},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"JavaScript","optional":true},{"name":"LLMOps","optional":true},{"name":"OpenAI","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-25T18:46:26Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-27T22:43:13Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"'\n: - ( - )\nExperience: 10+ yrs\nLocation: Pune, Bengaluru\nJob Type: Full-time\nWe are looking for an experienced AI Engineering Architect to lead the architecture, development, and delivery of production-grade AI-powered applications. The role combines software architecture, hands-on Python engineering, full-stack development, Generative AI, cloud-native technologies, and technical leadership.\nThe ideal candidate will have strong experience building scalable production systems and applying modern AI technologies to enterprise applications. You will provide technical direction across the software development lifecycle, drive architecture decisions, mentor engineering teams, and help establish scalable approaches for enterprise AI adoption.\nRequirements\nKey Responsibilities\nDefine and evolve scalable end-to-end architectures for AI-powered and enterprise applications.\nLead the design and development of production-grade backend services, APIs, and AI orchestration layers using Python.\nDevelop and guide full-stack application development using React/Angular, TypeScript, HTML, and CSS.\nDesign and integrate LLM applications, RAG pipelines, embeddings, vector databases, AI agents, and enterprise data sources.\nEstablish engineering standards for security, reliability, scalability, observability, performance, and maintainability.\nLead technical design reviews, architecture discussions, technology evaluations, and build-vs-buy decisions.\nDesign event-driven and distributed application architectures where appropriate.\nCollaborate with Product, Data Science, Cybersecurity, Cloud, and other technology stakeholders.\nDrive technical solutions from requirements and architecture through development, testing, deployment, and production support.\nMentor senior engineers, provide technical guidance, and contribute to hiring and engineering capability development.\nPromote responsible AI practices covering privacy, explainability, governance, security, and appropriate AI controls.\nIdentify opportunities to improve engineering processes, architecture, automation, and AI adoption.\nSupport enterprise-scale deployment and productionisation of AI solutions.\nWhat Makes You a Great Fit\n10+ years of software engineering experience, including 5+ years building production systems with Python.\nStrong hands-on expertise with FastAPI, Django, Flask, REST APIs, and event-driven architectures.\nProven experience designing scalable backend systems and enterprise application architectures.\nFull-stack development experience with React or Angular, TypeScript, HTML, and CSS.\nStrong practical experience building LLM-powered applications, prompt engineering, RAG, embeddings, vector databases, and AI agents.\nStrong cloud-native expertise across AWS, Azure, or GCP, along with Docker, Kubernetes, and CI/CD.\nSolid experience with SQL and NoSQL databases and enterprise data integrations.\nProven ability to lead architecture decisions, conduct technical design reviews, and influence engineering teams.\nExperience delivering AI solutions at enterprise scale is highly desirable.\nKnowledge of MLOps, LLMOps, AI safety controls, governance, and responsible AI practices.\nFamiliarity with Azure OpenAI, Amazon Bedrock, or Google Vertex AI.\nStrong understanding of application security, observability, reliability, performance, and scalability.\nExperience working in consulting, enterprise technology, or regulated-industry environments is an advantage.\nExcellent communication, stakeholder management, problem-solving, and technical leadership skills.\nRelevant certifications in cloud architecture, software architecture, or AI technologies would be an advantage.","description_format":"text","description_chars":3660,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity"],"lifecycle":[{"event":"open","at":"2026-09-25T18:46:26Z"}],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.375,"p_room":1,"age_days":1,"expected_fill_days":5,"reasons":["conf:0","agency","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/weekday-buisness-analyst-data","json_url":"https://alion.io/job/weekday-buisness-analyst-data.json","meta":{"generated_at":"2026-09-28T00:50:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":363,"day_limit":5000,"remaining_today":4637,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}