{"id":3665304,"url":"https://alion.io/job/knowledge-artisans-ai-solutions-architect-presales-delivery","title":"AI Solutions Architect - Presales & Delivery","company":{"id":3800696,"name":"Knowledge Artisans","domain":"theknowledgeartisans.com","url":"https://alion.io/company/knowledge-artisan","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"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":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"C#","optional":true},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-03T04:20:15Z","employer_posted_date":null,"last_verified_at":"2026-11-03T04:20:15Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"About the Role : \n\nWe are seeking an experienced AI Solutions Architect to lead customer engagements, architect innovative AI-powered enterprise solutions, and drive successful execution from presales through delivery. The ideal candidate combines strong consulting skills, deep technical expertise in AI and full-stack software engineering, and hands-on experience building production-ready AI solutions.\n\nKey Responsibilities : \n\nCustomer Consulting & Presales : \n\n- Engage with customers to understand business objectives, pain points, and transformation opportunities.\n\n- Conduct discovery workshops and identify high-value AI use cases.\n\n- Collaborate with Sales teams to develop AI-led solution strategies.\n\n- Lead technical presentations, solution demonstrations, and executive discussions.\n\n- Develop solution proposals, architecture documents, effort estimates, SOWs, and responses to RFPs/RFIs.\n\nAI Solution Architecture : \n\n- Design scalable, secure, and cloud-native AI solutions leveraging Generative AI, LLMs, RAG, AI Agents, Machine Learning, NLP, Intelligent Automation, and Predictive Analytics.\n\n- Define end-to-end solution architecture, integration strategy, security, governance, and implementation roadmap.\n\nAI-Enabled Software Engineering : \n\n- Drive AI adoption across enterprise application architecture and the Software Development Lifecycle.\n\n- Design AI-enabled full-stack applications by integrating LLMs, copilots, semantic search, AI agents, and intelligent automation.\n\n- Architect modern cloud-native, microservices-based applications.\n\nProof of Concept & Delivery : \n\n- Develop rapid AI Proof of Concepts (PoCs) and prototypes demonstrating business value and technical feasibility.\n\n- Lead architectural governance from presales through implementation.\n\nTechnical Skills : \n\nArtificial Intelligence : \n\n- Generative AI, Large Language Models (LLMs), RAG, AI Agents, Machine Learning, NLP, Computer Vision, Intelligent Automation, Prompt Engineering, MLOps.\n\nAI Platforms & Frameworks : \n\n- Azure OpenAI, AWS Bedrock, Google Vertex AI, LangChain, LangGraph, LlamaIndex, Vector Databases.\n\nSoftware Engineering : \n\n- Python, 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