{"id":3092762,"url":"https://alion.io/job/hcltech-senior-solution-architect-26","title":"Senior Solution Architect","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"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":32000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":36},"experience_years_min":14,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-22T15:20:16Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T17:33:32Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nThe AI Native AD Solution Architect / LSA helps customers adopt the AI-Led software development lifecycle and turns that advice into winning, deliverable solutions. The role leads discovery, runs AI-Led SDLC maturity assessments, and coaches customers on embracing AI-led ways of working. It leads RFP/RFI solutioning end to end: target architecture, estimation assumptions, delivery model, NFRs, risks, proposition composition, and technical defence. It then carries the solution through mobilization and transition. It shapes both greenfield AI-native solutions and brownfield modernization programs.\nThe role is a hands-on, AI-native engineer-architect and a credible customer-facing advisor, able to talk to CXOs and to engineering teams.\nLead discovery, AI-Led SDLC maturity assessment, coach customers on embracing the AI-Led SDLC, Advisory, RFP/RFI solutioning, target architecture, estimation assumptions, delivery model, NFRs, risks, proposition composition, technical defence, mobilization and transition; shape greenfield AI-native and brownfield modernization solutions. Practical AI-native engineering; strong modern application development; cloud-native, API, microservices and DevSecOps grounding; hands-on experience with at least one agent harness such as Claude Code, GitHub Copilot, Codex, Kiro or Cursor; enterprise security, governance, evaluation, observability and cost awareness.\nKey Responsibilities\nA. Discovery & Advisory\nLead discovery with customer business and technology stakeholders: goals, constraints, current SDLC, toolchain, team structure, applications landscape, and delivery pain points.\nProvide advisory on AI-Led SDLC adoption: where AI fits across requirements, design, coding, testing, security, release, and operations, and what changes in roles, practices, and governance.\nBuild the business case and value hypothesis (productivity, quality, speed, cost, risk) for AI-Led SDLC adoption.\nB. AI-Led SDLC Maturity Assessment & Coaching\nRun AI-Led SDLC maturity assessments across people, process, tooling, governance, security, measurement, and culture; baseline current state and define target state.\nProduce findings, gap analysis, and a phased adoption roadmap with quick wins, pilots, and scale-up stages.\n Coach customers on embracing the AI-Led SDLC: agent harness adoption, prompt and context practices, spec-driven and review-driven workflows, human-in-the-loop controls, metrics, and change management.\nDefine adoption metrics and outcome measures (e.g., cycle time, throughput, defect rates, review effort, developer experience, AI cost per change).\nC. RFP/RFI Solutioning\nLead RFP/RFI response solutioning: requirements analysis, win themes, solution approach, and differentiation.\nDefine target architecture for the proposed solution, covering application, data, AI, integration, security, and infrastructure layers.\nDefine NFRs (performance, scalability, availability, resilience, security, compliance, observability, cost) and how the solution meets them.\nDefine estimation assumptions, sizing approach, and AI-productivity assumptions with explicit, defensible rationale.\nDefine the delivery model: team structure, pods, onshore/offshore mix, AI-augmented ways of working, governance cadence, and tooling.\nIdentify and quantify risks, dependencies, and mitigations; shape commercial constructs with the pursuit team.\nCompose the proposition: narrative, architecture views, case studies, accelerators, and value story.\nD. Solution Shaping: Greenfield & Brownfield\nShape greenfield AI-native solutions: AI-first architecture, agentic components, evaluation and observability by design, security and governance built in.\nShape brownfield modernization solutions: assessment of legacy estate, modernization strategy (rehost, replatform, refactor, rearchitect, replace), AI-assisted code understanding and migration, and phased coexistence.\nApply the AI-Led SDLC to both: what is automated, what remains human-led, and how quality and risk are controlled.\nE. Technical Defence\nLead technical defence of the proposed solution in customer presentations, orals, and due diligence sessions.\nPrepare for and handle deep technical challenge on architecture, AI approach, security, delivery model, and estimates.\nRun demos and PoCs that demonstrate the AI-Led SDLC in practice where needed to win trust.\nF. Mobilization & Transition\nLead mobilization of won engagements: solution handover to delivery, team ramp-up, tooling and environment setup, ways-of-working onboarding, and governance setup.\nLead transition planning (knowledge transfer, steady-state handover, or transformation from the customer's current model), with clear exit criteria.\nEnsure the delivery team has the reference architectures, accelerators, and AI-Led SDLC playbooks needed to deliver what was sold.\nG. Governance, Reuse & Enablement\nEmbed enterprise security, governance, evaluation, observability, and cost controls into every proposed solution and delivery model.\nContribute reusable assets back to CoE and Advisory: assessment frameworks, proposal templates, estimation models, case studies, and reference architectures.\nMentor solution architects and consultants; collaborate with CoE, Solutions, and delivery leadership.\nSkill Requirements\nBachelor's or Master's degree in Computer Science, Engineering, or an equivalent field, or equivalent practical experience.\n14+ years in software engineering, architecture, and delivery, with at least 5 years in customer-facing solutioning, pre-sales, or advisory roles and at least 2 years working with AI-assisted or AI-native development.\nTrack record of leading RFP/RFI responses, technical defence, and handover into delivery for large engagements.\nTechnical & Advisory Skills (Must Have)\nAI-Led SDLC knowledge: how AI changes each SDLC phase, agent harness usage, spec-driven and agentic development workflows, human-in-the-loop controls, and productivity measurement.\nMaturity assessment and advisory: assessment frameworks, gap analysis, roadmap creation, and coaching customers through change.\nDiscovery and consulting skills: structured discovery, stakeholder management, value hypothesis and business case building.\nSolution architecture: target architecture across application, data, AI, integration, security, and infrastructure for greenfield and brownfield.\nNFR definition: performance, resilience, security, compliance, observability, and cost NFRs and how to engineer for them.\nEstimation and delivery model design: sizing methods, assumptions, AI productivity factors, team structure, governance, and commercial construct awareness.\nRisk management: identifying, quantifying, and mitigating technical, delivery, and commercial risks.\nProposal craft and technical defence: proposition composition, win themes, presenting and defending solutions under challenge.\nMobilization and transition: onboarding, knowledge transfer, handover, and ramp-up planning.\nModernization: legacy assessment, modernization strategies, and AI-assisted code understanding and migration.\n AI-native engineering: practical use of AI across the development lifecycle; hands-on with at least one agent harness (Claude Code, GitHub Copilot, Codex, Kiro, or Cursor).\nModern application development: strong proficiency in at least one language such as Java, Python, TypeScript, or C#; clean architecture, testing, code review.\nCloud-native, API & microservices: AWS/Azure/GCP, containers, service design, event-driven architecture.\nDevSecOps: CI/CD, infrastructure as code, secure SDLC, quality and security gates.\nEnterprise readiness: security, governance, evaluation, observability, and cost awareness, including cost modeling of AI tooling and delivery.\nBehavioral & Professional Skills\nExecutive presence and storytelling; explains AI-Led SDLC value and risk clearly to CXOs and to engineers.\nConsultative, curious, and commercially aware; balances ambition with delivery realism.\nCredible under challenge; honest about limits of AI productivity claims and able to back estimates with evidence.\nCoaching mindset, leadership, and collaboration across Advisory, Solutions, CoE, and delivery teams.\nOther Requirements\nRole-specific\nDeveloper productivity and engineering metrics frameworks (DORA, SPACE, developer experience surveys).\nChange management and organizational design for AI-augmented engineering teams.\nCommercial constructs: outcome-based pricing, managed-service and productivity-linked models.\nApplication portfolio assessment and rationalization; cloud migration and mainframe/legacy modernization experience.\nAgent frameworks and agentic application patterns; MCP and tool integration.\nQuality engineering and test automation strategy in AI-led delivery.\nResponsible AI governance, IP and licensing considerations for AI-generated code.\nIndustry domain expertise in BFSI, healthcare, telecom, retail, manufacturing, or public sector.\nThought leadership: publishing, speaking, and analyst or client briefings.\nCommon competencies (mandatory across all roles)\nPractical AI-native engineering and strong modern application development.\nCloud-native, API, microservices, and DevSecOps grounding.\nHands-on experience with at least one agent harness (Claude Code, GitHub Copilot, Codex, Kiro, Cursor).\nEnterprise security, governance, evaluation, observability, and cost awareness.\nCertifications (preferred, not mandatory)\nCloud solution architect certifications (AWS, Azure, or GCP).\nTOGAF or equivalent architecture certification.\nDelivery and agile certifications (e.g., SAFe, PMP, or equivalent) and relevant AI or GitHub/Microsoft developer-tool certifications.","description_format":"text","description_chars":9648,"description_truncated":false,"requirements":{"experience_years_min":14,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-22T15:20:16Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":1,"expected_fill_days":31,"reasons":["conf:2","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-senior-solution-architect-26","json_url":"https://alion.io/job/hcltech-senior-solution-architect-26.json","meta":{"generated_at":"2026-10-24T18:19:37Z","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":26675,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":225},"rest":"https://alion.io/mcp/rest/get_company?id=225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhcltech-senior-solution-architect-26"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fhcltech-senior-solution-architect-26"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fhcltech-senior-solution-architect-26"},{"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/hcltech-senior-solution-architect-26\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhcltech-senior-solution-architect-26"}]}