{"id":124096,"url":"https://alion.io/job/ahead-senior-technical-consultant-ai-platform-engineer","title":"Senior Technical Consultant - AI Platform Engineer","company":{"id":3614,"name":"AHEAD","domain":"ahead.com","url":"https://alion.io/company/ahead","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":41,"ghost_share":0,"stale_share":0.78,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-10-28T05:59:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":46000,"period":"year","method":"role_seniority_country_cell","sample_n":58},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"CrewAI","optional":true},{"name":"Cursor","optional":true},{"name":"Devin","optional":true},{"name":"FinOps","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"OpenAI","optional":true},{"name":"Service Mesh","optional":true},{"name":"Vertex AI","optional":true},{"name":"VMWare","optional":true},{"name":"Windsurf","optional":true}],"status":"live","first_seen_at":"2026-08-25T11:52:36Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-28T12:30:38Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"We are seeking a hands-on Senior Technical Consultant to design and implement enterprise platform solutions across cloud, application, data, infrastructure, and AI workloads. This role combines strong platform engineering fundamentals with modern AI-assisted development practices. The consultant will lead cloud migration and cloud platform modernization initiatives, work directly with customers, lead technical workstreams, build reusable platform capabilities, and use AI coding tools and vibe coding techniques to accelerate solution delivery while maintaining high standards for security, quality, reliability, and governance.\nResponsibilities\nLead customer workshops, technical discovery, architecture\ndiscussions, and solution design.\nDesign and implement scalable platforms for cloud-native\napplications, data platforms, infrastructure services, and AI\u0002\nenabled workloads.\nLead cloud migration and cloud platform modernization\nassessments, planning, architecture, execution, and transition\nactivities.\nDesign migration strategies, landing zones, modernization\nroadmaps, workload waves, cutover plans, and operational\nhandoffs.\nBuild reusable platform patterns, automation, self-service\nworkflows, developer tooling, and golden paths.\nLead AI-accelerated development initiatives that integrate AI tools\ninto customer software development lifecycles, engineering\nworkflows, and delivery practices.\nDrive organization-wide AI enablement for customers through\nassessments, pilots, training, playbooks, governance, adoption\nroadmaps, and measurement frameworks.\nUse AI coding assistants and agentic development tools for\nprototyping, coding, testing, debugging, refactoring, and\ndocumentation.\nApply human review and engineering standards to validate AI\u0002\ngenerated code and solutions.\nDevelop Infrastructure as Code, CI/CD pipelines, GitOps\nworkflows, and cloud automation.\nWork with containers, Kubernetes, APIs, event-driven systems,\nobservability, security, and cloud-native architectures.\nUnderstand LLM, RAG, agent, vector database, model API, and AI\napplication integration patterns.\nSupport platform security, governance, reliability, operational\nreadiness, and cost optimization.\nCreate reusable accelerators, technical documentation,\ndemonstrations, and reference architectures.\nMentor engineers and contribute to internal technical communities\nand enablement.\nParticipate in proposals, estimates, technical presentations, and\npre-sales activities.\nRequired Qualifications\nBachelor’s degree in Computer Science, Engineering, Information\nTechnology, or equivalent practical experience.\n8+ years of professional IT experience.\n4+ years of experience in cloud, platform engineering, DevOps,\nautomation, application modernization, or related areas.\nHands-on experience with AWS, Azure, and/or Google Cloud.\nExperience delivering cloud migration and cloud platform\nmodernization initiatives, including assessment, planning,\ndependency analysis, landing zones, migration waves, cutover, and\nvalidation.\nExperience with Terraform, Bicep or another Infrastructure as\nCode technology.\nExperience with CI/CD, containers, Kubernetes, automation, and\ncloud-native application patterns.\nStrong scripting or programming skills in Python, PowerShell,\nBash, or a comparable language.\nPractical experience using AI coding assistants or agentic\ndevelopment tools.\nUnderstanding of LLMs, generative AI applications, RAG, prompt\nengineering, agents, and model APIs.\nAbility to review, secure, test, and productionize AI-generated\ncode.\nOne or more relevant professional certifications, such as:\nCertified Kubernetes Administrator (CKA) or Certified\nKubernetes Application Developer (CKAD).\nAWS Certified Solutions Architect - Associate or Professional.\nAWS Certified AI Practitioner.\nMicrosoft Certified: Azure AI Fundamentals or Microsoft\nCertified: Azure Solutions Architect Expert.\nRelevant NVIDIA AI, Generative AI, or AI infrastructure\ncertification.\nClaude Certified Architect or an equivalent AI architecture\ncertification.\nStrong consulting, communication, technical writing, and\ncustomer-facing skills.\nPreferred Qualifications\nExperience with Amazon Bedrock, SageMaker, Azure OpenAI,\nMicrosoft Foundry, or Google Vertex AI.\nExperience with LangChain, LangGraph, LlamaIndex, Semantic\nKernel, CrewAI, or similar frameworks.\nExperience with Cursor, Windsurf, GitHub Copilot, Claude Code,\nDevin, Amazon Q Developer, or similar tools.\nExperience building developer platforms, platform APIs, self\u0002\nservice portals, or reusable engineering accelerators.\nExperience with cloud migration tools such as AWS Migration Hub\nor MGN, Azure Migrate, Google Migration Center, VMware HCX,\nor comparable technologies.Experience with GitOps, service mesh, policy-as-code, platform\nsecurity, observability, or FinOps.\nCloud, Kubernetes, Terraform, DevOps, AI, or security\ncertifications.\nWhat Success Looks like:\nCustomers receive secure, scalable, and reusable platform\nsolutions.\nCustomers successfully migrate and modernize workloads and\ncloud platforms with clear transition and operational plans.\nEngineering teams improve productivity through automation, self\u0002\nservice, and responsible AI-assisted development.\nPlatform capabilities support multiple workload types rather than\nonly AI workloads.\nAI tools are used to accelerate delivery without compromising\nquality, security, or maintainability.\nThe consultant builds strong customer relationships and\ncontributes reusable knowledge to the broader practice.","description_format":"text","description_chars":5496,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Consulting & Digital Transformation","Managed IT Services (MSP)","AI Consulting & 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