Senior Technical Consultant – AI Platform Engineer

🕒 August 25

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AHEAD

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 $5.7M Venture Round - AHEAD on 2024-05

Consulting • Artificial Intelligence • Enterprise

AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.

📋 Description

• 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 integrating AI tools into customer software development lifecycles, engineering workflows, and delivery practices • Drive organization-wide AI enablement 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 • Apply 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

🎯 Requirements

• 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 CKA, CKAD, AWS Certified Solutions Architect, AWS Certified AI Practitioner, Microsoft Azure certifications, NVIDIA AI/Generative AI/AI infrastructure certification, Claude Certified Architect, or equivalent AI architecture certification • Strong consulting, communication, technical writing, and customer-facing skills

🏖️ Benefits

• 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 • Cross department training and development • Sponsored certifications and credentials for continued learning • Multi-million-dollar technology lab