Senior Technical Consultant - AI Platform Engineer

AHEAD; India; On-site; INR 3,500,000 - 7,500,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Flexible work arrangements

Learning and development opportunities

Wellness programs

Retirement benefits

Inclusive culture

Job summary

AHEAD is seeking a hands-on Senior Technical Consultant to design and implement enterprise platform solutions across cloud, data, infrastructure, and AI workloads. You will lead cloud migration and modernization initiatives while working directly with customers, guiding technical workstreams, and building reusable platform capabilities with AI-assisted development practices.

The role emphasizes security, quality, reliability, governance, and scalable architecture, with opportunities to mentor

Qualifications

• Bachelors degree in CS/Engineering or equivalent practical experience.
• 8+ years of professional IT experience with cloud/platform engineering.
• 4+ years in cloud migration, modernization, or related areas.
• Hands-on with AWS, Azure, Google Cloud.
• Experience with Terraform, Bicep, CI/CD, containers, Kubernetes.
• Strong scripting in Python, PowerShell, or Bash.
• Familiarity with AI tooling, LLMs, and AI-enabled development.
• Professional certifications such as CKA/CKAD or AWS/Azure certifications.

Responsibilities

• Lead customer workshops, discovery, architecture discussions and design.
• Design and implement scalable cloud-native platforms and data/infrastructure solutions.
• Drive cloud migration and modernization initiatives, including assessment and planning.
• Create migration roadmaps, landing zones, waves, cutover plans and ops handoffs.
• Build reusable platform patterns, automation, and self-service workflows.
• Lead AI-enabled development initiatives integrating AI tools into lifecycles.
• Develop IaC, CI/CD pipelines, GitOps workflows and cloud automation.
• Mentor engineers and contribute to internal technical communities.

Skills

Cloud architecture

Multi-cloud (AWS/Azure/GCP)

IaC Terraform/Bicep

CI/CD / GitOps

Kubernetes

AI tooling

Shell scripting (Python/PowerShell/Bas

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Terraform

Bicep

CI/CD pipelines

Kubernetes

GitOps

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.

AtAHEAD, 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,anddo not discriminatebased onan individual’s race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived.

We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD.

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, 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 insurancecoverage 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 opportunitiesto support continuous growth and upskilling
• Employee wellness initiativesand programs focused on physical and mental well-being
• Retirement and statutory benefitsin line with India regulations
• Inclusive and people-first culture, with a strong focus on collaboration and ownership