{"id":1139086,"url":"https://alion.io/job/greenwayhealth-ai-architect","title":"AI Architect","company":{"id":1979249,"name":"Greenway Health","domain":"greenwayhealth.com","url":"https://alion.io/company/greenwayhealth","size_band":"201-500","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":104000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":775},"experience_years_min":14,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Appium","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Gerrit","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Machine Learning","optional":false},{"name":"Node JS","optional":false},{"name":"npm","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Selenium","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Yarn","optional":false}],"status":"live","first_seen_at":"2026-09-23T09:41:07Z","employer_posted_date":null,"last_verified_at":"2026-09-23T09:41:07Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"The AI Architect defines and guides scalable, maintainable, AI-enabled product architecture for modern product delivery and legacy modernisation. This role translates product goals, customer commitments, engineering constraints, and modernisation needs into practical architecture, service models, integration patterns, technical standards, and reusable solution accelerators. The role is expected to use AI tools to improve architecture discovery, documentation, design comparison, codebase understanding, modernisation planning, and engineering enablement while maintaining accountability for technical decisions.\nResponsibilities:\nLead product architecture for new capabilities, modernisation initiatives, service decomposition, API strategies, integration patterns, data flows, cloud adoption, and non-functional requirements.\nUse GitHub Copilot, ChatGPT Enterprise/Team, and approved AI tools to accelerate codebase exploration, design option comparison, architecture documentation, sequence diagrams, ADR, risk analysis, and modernisation planning.\nDevelop and maintain conceptual, logical, and physical service models that support product initiatives, integration requirements, operational needs, and long-term maintainability.\nDefine architecture standards, design patterns, API guidelines, service boundaries, data handling patterns, observability expectations, and quality attributes for product teams.\nAnalyse current-state architecture, product performance, reliability, scalability, technical debt, integration constraints, and modernisation opportunities.\nPartner with product management to translate business priorities and customer commitments into technically feasible roadmaps, implementation strategies, and release increments.\nGuide engineers and QA teams on design decisions, testability, service contracts, performance risks, backward compatibility, and modernisation safety.\nCreate proofs of concept to evaluate feasibility, desirability, viability, and operational impact of emerging technologies, cloud capabilities, AI-enabled engineering accelerators, and internal bots.\nEstablish product-level architecture governance that is lightweight, practical, and aligned to agile delivery.\nMentor senior engineers and engineering managers in system design, service ownership, technical debt management, AI-assisted architecture practices, and full-cycle engineering standards.\nDocument architecture decisions, diagrams, service catalogues, integration patterns, technical risks, and modernisation roadmaps in formats usable by engineers and product stakeholders.\nContinuously review industry trends and internal product constraints to evolve architecture practices, technology direction, and AI-enabled engineering adoption.\nRequirements:\nBachelor's degree in Computer Science, Information Technology, Software Engineering, Mathematics, or a related discipline is required; equivalent deep technical experience may be considered.\nMaster's degree in Computer Science, Software Engineering, Data Engineering, Architecture, or related discipline is preferred.\nCloud, architecture, DevOps, data, or AI-related certifications are preferred when supported by practical implementation experience.\nExperience:\nOverall Experience of 14+ years in software development and architecture.\n8+ years of software development, product engineering, architecture, or technical design experience.\n5+ years of senior technical leadership, architecture ownership, product modernization, service design, integration architecture, or platform engineering experience is preferred.\nProven experience designing scalable, secure, maintainable, high-performance product architectures for complex applications.\nExperience with legacy modernisation, cloud services, distributed systems, API design, data architecture, technical debt management, and cross-functional solutioning.\nExperience using AI tools for architecture analysis, documentation, codebase understanding, proof-of-concept acceleration, or engineering enablement is preferred.\nSkills:\nExpert knowledge of software architecture, system design, service modelling, integration patterns, cloud-native design, distributed systems, and non-functional requirements.\nStrong understanding of full-stack product engineering, databases, APIs, event-driven systems, CI/CD, observability, performance, reliability, and security principles.\nAbility to use AI tools to analyse legacy systems, summarise codebase behaviour, compare design alternatives, identify risks, draft documentation, and accelerate proof-of-concept work.\nAbility to create architecture decision records, diagrams, service catalogues, modernisation roadmaps, technical standards, and reusable engineering patterns.\nStrong communication skills with the ability to align technical and non-technical stakeholders around architecture decisions and trade-offs.\nAbilities:\nInfluences across engineering, product, QA, DevOps, data, and leadership teams without relying only on formal authority.\nBalances long-term architecture health with customer commitments and delivery constraints.\nConverts ambiguity into clear architecture direction, incremental modernisation plans, and executable engineering guidance.\nMentors teams toward full-cycle ownership, reusable patterns, and accountable AI-enabled engineering practices.\nMaintains practical governance that improves quality and speed rather than increasing unnecessary process overhead.\nTools and Technologies:\nGitHub Copilot, ChatGPT Enterprise/Team, Claude, approved AI assistants for architecture exploration, documentation, code explanation, modernization analysis, proof-of-concept acceleration, and engineering enablement.\nArchitecture and documentation tools for diagrams, ADRs, service catalogues, backlog alignment, and architecture reviews.\nC#, . NET/. NET Core,. NET Framework, Java, JavaScript, TypeScript, Python, SQL, APIs, microservices, Angular/React, Node.js, and legacy technologies relevant to existing products. AWS services including Lambda, ECS, S3 IAM, Cognito, Step Functions, SQS, CloudWatch, Aurora, Glue; Azure services where applicable.\nKafka/streaming, relational and NoSQL databases, PostgreSQL, MongoDB, DynamoDB, Elasticsearch, data lakes, distributed computing tools where applicable.\nCI/CD tools such as Jenkins, Terraform, Docker, Git/Gerrit/GitHub, NuGet, NPM, Yarn, and feature management tools.\nHands-on experience with automation frameworks and tools, including Reqnroll, BDD, C#,. NET, Appium, and Selenium.\nAI Usage and Accountability Requirements:\nAI-assisted architecture recommendations must be validated against product context, engineering constraints, performance needs, maintainability, and operational risk.\nArchitecture decisions must remain traceable to business goals, quality attributes, implementation feasibility, and known trade-offs.\nAI tools should accelerate discovery and documentation but not replace architecture review, stakeholder alignment, or hands-on technical validation.\nReusable AI prompts, architecture bots, documentation patterns, and design-review checklists should be maintained as organisational assets.\nSuccess Measures / Accountable Outcomes:\nArchitecture adoption rate, reusability of patterns, reduction in duplicated designs, and clarity of architecture documentation.\nReduction in technical debt, integration complexity, modernisation risk, and repeated architecture defects.\nImprovement in delivery readiness for strategic product initiatives and customer-committed capabilities.\nEngineering productivity gains from reusable architecture assets, prompts, bots, templates, and proof-of-concept accelerators.","description_format":"text","description_chars":7642,"description_truncated":false,"requirements":{"experience_years_min":14,"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":[],"lifecycle":[{"event":"open","at":"2026-09-23T09:41:07Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":55,"reasons":["seen:0","win:early"],"computed_at":"2026-09-23T15:30:14Z"},"pay":null,"html_url":"https://alion.io/job/greenwayhealth-ai-architect","json_url":"https://alion.io/job/greenwayhealth-ai-architect.json","meta":{"generated_at":"2026-09-23T15:30:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}