Senior Technical Consultant - AI Platform Engineer

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, 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.