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Senior Technical Consultant - AI Platform Engineer

AHEAD
🇮🇳 India
Remote
Senior
3 weeks ago
  • AI
  • IaC
  • CI/CD
  • GitOps
  • Kubernetes
  • RAG
  • Devops
  • AWS
  • Azure
  • GCP
  • Terraform
  • Bicep
  • Python
  • PowerShell
  • Bash
  • Machine Learning
  • CKA
  • Azure AI
  • Claude
  • Technical Writing
  • Amazon Bedrock
  • Azure OpenAI
  • Foundry
  • Vertex AI
  • LangChain
  • LangGraph
  • LlamaIndex
  • CrewAI
  • Cursor
  • Claude Code
  • VMware
  • FinOps
  • Health insurance
3 weeks ago
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AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.  We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.  We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. 
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.

Responsibilities

    Lead customer workshops, technical discovery, architecturediscussions, and solution design.Design and implement scalable platforms for cloud-nativeapplications, data platforms, infrastructure services, and AIenabled workloads.Lead cloud migration and cloud platform modernizationassessments, planning, architecture, execution, and transitionactivities.Design migration strategies, landing zones, modernizationroadmaps, workload waves, cutover plans, and operationalhandoffs.Build reusable platform patterns, automation, self-serviceworkflows, developer tooling, and golden paths.Lead AI-accelerated development initiatives that integrate AI toolsinto customer software development lifecycles, engineeringworkflows, and delivery practices.Drive organization-wide AI enablement for customers throughassessments, pilots, training, playbooks, governance, adoptionroadmaps, and measurement frameworks.Use AI coding assistants and agentic development tools forprototyping, coding, testing, debugging, refactoring, anddocumentation.Apply human review and engineering standards to validate AIgenerated code and solutions.Develop Infrastructure as Code, CI/CD pipelines, GitOpsworkflows, and cloud automation.Work with containers, Kubernetes, APIs, event-driven systems,observability, security, and cloud-native architectures.Understand LLM, RAG, agent, vector database, model API, and AIapplication integration patterns.Support platform security, governance, reliability, operationalreadiness, and cost optimization.Create reusable accelerators, technical documentation,demonstrations, and reference architectures.Mentor engineers and contribute to internal technical communitiesand enablement.Participate in proposals, estimates, technical presentations, andpre-sales activities.

Required Qualifications

    Bachelor’s degree in Computer Science, Engineering, InformationTechnology, or equivalent practical experience.8+ years of professional IT experience.4+ years of experience in cloud, platform engineering, DevOps,automation, application modernization, or related areas.Hands-on experience with AWS, Azure, and/or Google Cloud.Experience delivering cloud migration and cloud platformmodernization initiatives, including assessment, planning,dependency analysis, landing zones, migration waves, cutover, andvalidation.Experience with Terraform, Bicep or another Infrastructure asCode technology.Experience with CI/CD, containers, Kubernetes, automation, andcloud-native application patterns.Strong scripting or programming skills in Python, PowerShell,Bash, or a comparable language.Practical experience using AI coding assistants or agenticdevelopment tools.Understanding of LLMs, generative AI applications, RAG, promptengineering, agents, and model APIs.Ability to review, secure, test, and productionize AI-generatedcode.One or more relevant professional certifications, such as:Certified Kubernetes Administrator (CKA) or CertifiedKubernetes Application Developer (CKAD).AWS Certified Solutions Architect – Associate or Professional.AWS Certified AI Practitioner.Microsoft Certified: Azure AI Fundamentals or MicrosoftCertified: Azure Solutions Architect Expert.Relevant NVIDIA AI, Generative AI, or AI infrastructurecertification.Claude Certified Architect or an equivalent AI architecturecertification.Strong consulting, communication, technical writing, andcustomer-facing skills.

Preferred Qualifications

    Experience with Amazon Bedrock, SageMaker, Azure OpenAI,Microsoft Foundry, or Google Vertex AI.Experience with LangChain, LangGraph, LlamaIndex, SemanticKernel, CrewAI, or similar frameworks.Experience with Cursor, Windsurf, GitHub Copilot, Claude Code,Devin, Amazon Q Developer, or similar tools.Experience building developer platforms, platform APIs, selfservice portals, or reusable engineering accelerators.Experience with cloud migration tools such as AWS Migration Hubor MGN, Azure Migrate, Google Migration Center, VMware HCX,or comparable technologies.Experience with GitOps, service mesh, policy-as-code, platformsecurity, observability, or FinOps.Cloud, Kubernetes, Terraform, DevOps, AI, or securitycertifications.

What Success Looks like:

    Customers receive secure, scalable, and reusable platformsolutions.Customers successfully migrate and modernize workloads andcloud platforms with clear transition and operational plans.Engineering teams improve productivity through automation, selfservice, and responsible AI-assisted development.Platform capabilities support multiple workload types rather thanonly AI workloads.AI tools are used to accelerate delivery without compromisingquality, security, or maintainability.The consultant builds strong customer relationships andcontributes reusable knowledge to the broader practice.
Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. India Employment Benefits include: Comprehensive health insurance coverage for employees, with options to extend coverage to dependentsPaid time off and company holidays, along with additional leave benefits as per policyFlexible work arrangements, supporting work-life balanceLearning and development opportunities to support continuous growth and upskillingEmployee wellness initiatives and programs focused on physical and mental well-beingRetirement and statutory benefits in line with India regulationsInclusive and people-first culture, with a strong focus on collaboration and ownership 

Senior Technical Consultant - AI Platform Engineer · AHEAD

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