--- title: 'Senior Technical Consultant - AI Platform Engineer at AHEAD' canonical: 'https://feeny.ai/job/senior-technical-consultant-ai-platform-engineer-ahead-gurugram-jwg05n7vj1a3' type: 'job' last_seen: '2026-09-11' --- # Senior Technical Consultant - AI Platform Engineer at AHEAD - **Company:** AHEAD - **Location:** Gurugram, India - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-25 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.lever.co/thinkahead/fa8521eb-285a-41d3-acfe-a0e46a3e5d4e ## Job description 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. ## Responsibilities Lead customer workshops, technical discovery, architecture discussions, and solution design. Design and implement scalable platforms for cloud-native applications, data platforms, infrastructure services, and AI enabled workloads. Lead cloud migration and cloud platform modernization assessments, planning, architecture, execution, and transition activities. Design migration strategies, landing zones, modernization roadmaps, workload waves, cutover plans, and operational handoffs. Build reusable platform patterns, automation, self-service workflows, developer tooling, and golden paths. Lead AI-accelerated development initiatives that integrate AI tools into customer software development lifecycles, engineering workflows, and delivery practices. Drive organization-wide AI enablement for customers through assessments, pilots, training, playbooks, governance, adoption roadmaps, and measurement frameworks. Use AI coding assistants and agentic development tools for prototyping, coding, testing, debugging, refactoring, and documentation. Apply human review and engineering standards to validate AI generated code and solutions. Develop Infrastructure as Code, CI/CD pipelines, GitOps workflows, 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 AI application integration patterns. Support platform security, governance, reliability, operational readiness, and cost optimization. Create reusable accelerators, technical documentation, demonstrations, and reference architectures. Mentor engineers and contribute to internal technical communities and enablement. Participate in proposals, estimates, technical presentations, and pre-sales activities. Required Qualifications Bachelor’s degree in Computer Science, Engineering, Information Technology, 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 platform modernization initiatives, including assessment, planning, dependency analysis, landing zones, migration waves, cutover, and validation. Experience with Terraform, Bicep or another Infrastructure as Code technology. Experience with CI/CD, containers, Kubernetes, automation, and cloud-native application patterns. Strong scripting or programming skills in Python, PowerShell, Bash, or a comparable language. Practical experience using AI coding assistants or agentic development tools. Understanding of LLMs, generative AI applications, RAG, prompt engineering, agents, and model APIs. Ability to review, secure, test, and productionize AI-generated code. One or more relevant professional certifications, such as: Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD). AWS Certified Solutions Architect – Associate or Professional. AWS Certified AI Practitioner. Microsoft Certified: Azure AI Fundamentals or Microsoft Certified: Azure Solutions Architect Expert. Relevant NVIDIA AI, Generative AI, or AI infrastructure certification. Claude Certified Architect or an equivalent AI architecture certification. Strong consulting, communication, technical writing, and customer-facing skills. ## Preferred Qualifications Experience with Amazon Bedrock, SageMaker, Azure OpenAI, Microsoft Foundry, or Google Vertex AI. Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, 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, self service portals, or reusable engineering accelerators. Experience with cloud migration tools such as AWS Migration Hub or MGN, Azure Migrate, Google Migration Center, VMware HCX, or comparable technologies.Experience with GitOps, service mesh, policy-as-code, platform security, observability, or FinOps. Cloud, Kubernetes, Terraform, DevOps, AI, or security certifications. What Success Looks like: Customers receive secure, scalable, and reusable platform solutions. Customers successfully migrate and modernize workloads and cloud platforms with clear transition and operational plans. Engineering teams improve productivity through automation, self service, and responsible AI-assisted development. Platform capabilities support multiple workload types rather than only AI workloads. AI tools are used to accelerate delivery without compromising quality, security, or maintainability. The consultant builds strong customer relationships and contributes 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 dependents Paid time off and company holidays, along with additional leave benefits as per policy Flexible work arrangements, supporting work-life balance Learning and development opportunities to support continuous growth and upskilling Employee wellness initiatives and programs focused on physical and mental well-being Retirement and statutory benefits in line with India regulations Inclusive and people-first culture, with a strong focus on collaboration and ownership ## About AHEAD ## Company Overview - **One-liner**: AHEAD is an engineering-led digital platform company that accelerates enterprise strategy into execution across AI, cloud, data, security, and infrastructure. - **Entity Type**: Private (Bootstrapped/PE-backed; no public funding rounds disclosed) - **Headquarters**: New York, New York, USA - **Founded**: 2007 - **Founders**: Dan Adamany (CEO) ## Core Business - **Primary industry/industries**: IT Services & Consulting, Digital Transformation, Managed Services - **Target customers**: Fortune 1000 enterprises, large-scale organizations with complex, multi-domain IT estates (B2B, Enterprise) - **Mission or purpose statement**: To accelerate strategy into execution, engineering integrated solutions across infrastructure, applications, data, and security — building what others only blueprint. ## Products & Services - **AI Transformation**: A unified AI fabric to accelerate AI from idea to business value, including AI-enabled infrastructure and data readiness. *(Service)* - **AI Enabled Infrastructure**: Scalable, resilient architectures supporting high-performance workloads from core to edge. *(Service)* - **Data Platform Modernization**: Governed data platforms that turn raw data into trustworthy insight and AI readiness. *(Service)* - **Secure and Resilient Architectures**: Platforms designed to reduce risk, limit impact, and recover quickly. *(Service)* - **Platform and Workload Modernization**: Modernizing platforms and optimizing workloads across cloud, data center, and edge. *(Service)* - **Operational Excellence**: Frictionless operations, predictable performance, and optimized spend. *(Service)* - **Managed Services**: Ongoing management of critical systems over their entire lifecycle. *(Service)* - **Proprietary IP (Foundry™, Hatch™)**: Accelerators, financial models, scorecards, integration-ready code, and policy-as-code. *(Software/Tooling)* - **400+ APIs & Custom Offerings**: Frameworks that integrate multiple platforms for automation, data sandboxes, and ML/AI exploration. *(Platform)* ## Market Standing - **Valuation/Market Cap**: Not publicly available (Private company) - **Key Metric**: **Gross Revenue** of **$3.7 billion** (as of 2024, following the acquisition of CDI); **2,500+ employees** across 40 locations globally. - **Notable Investors/Partners**: Partners with **200+ technology providers** (e.g., major cloud, data center, security, and automation vendors). The company is backed by private equity (likely a growth/PE structure, though specific investors are not named in the provided materials). - **Growth Signals**: Scaled from a Midwest focus to national and international coverage through **12 acquisitions since 2019**; expanded service portfolio into data, app dev, custom manufacturing, and global logistics via M&A; recent acquisition of CDI (New York-based) added significant scale. ## Competitive Advantages - **Orchestration Expertise**: Ability to stitch together complex, multi-vendor systems into cohesive, scalable architectures — a differentiator in an increasingly fragmented IT landscape. - **Full-Stack Engineering**: Deep expertise across AI, cloud, data, security, infrastructure, and operations, applied in an integrated fashion. - **Unified Delivery Model**: One team, one roadmap, one owner held accountable for driving outcomes, from strategy through implementation and ongoing operations. - **Consultative Approach**: Engages early to architect transformation roadmaps, not just as a reseller of hardware/software. - **Proprietary IP (Foundry™, Hatch™)**: Unique accelerators and code libraries that de-risk and speed up client digital initiatives. ## Strategic Focus - **Current priorities**: Accelerating enterprise AI adoption; expanding managed services; deepening capabilities in data, security, and cloud; continuing M&A strategy to add geographic coverage and new service lines. - **Direction for growth**: Becoming the go-to strategic partner for Fortune 1000 leaders navigating the complexity of modern IT, with a focus on accountability from design to operations. ## Why Work Here - **Culture highlights**: Engineering-led organization with a strong emphasis on technical depth, ownership, and accountability. Described as a "game-changer in tech" that values innovation and execution. - **Remote/hybrid/office policy**: Likely hybrid/office-based given the nature of client-facing consulting and infrastructure work; 40 global locations suggest flexibility in location. - **Notable perks or engineering culture**: Opportunity to work with cutting-edge technologies across AI, cloud, security, and data at massive scale; exposure to Fortune 1000 clients and complex transformations; strong focus on IP development and engineering excellence; clear growth trajectory through acquisitions and expansion. ## Sources 1. [AHEAD Official Website](https://www.ahead.com/) 2. [AHEAD Story Page](https://www.ahead.com/story/) 3. [AHEAD Leadership Page](https://www.ahead.com/leadership/) 4. 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