Kearney PERLab – AI Platform, Edge & Infrastructure Engineer

Job Description

Kearney PERLab – AI Platform, Edge & Infrastructure Engineer
Full-time
INDIA
Bangalore

Job description

As an AI Platform, Edge & Infrastructure Engineer at Kearney, you will contribute to consulting project teams as they offer honest advice and practical guidance to our clients. Depending on each client’s unique needs, projects can differ in length, size, and location, giving you unique, hands-on experiences across a range of industries and service practices.

About Kearney PERLab

Kearney PERLab (Product Excellence and Renewal Lab) is Kearney’s global dedicated practice for “everything product.” We help clients make products that consumers fall in love with. Our design-driven approach to gross margin transformation offers end-to-end capabilities to support growth at every point in a product’s life cycle.

PERLab combines 100 years of Kearney’s operational expertise with award-winning design and cutting-edge proprietary data tools to unlock tangible product gains. With experts across product design, product development, sustainability, user experience, industrial design, IoT, consumer insights, product engineering, packaging design, and manufacturing excellence, PERLab’s end-to-end capabilities can support your growth at any point in your product’s life cycle.

PERLab has studios in Chicago, Stuttgart, Bengaluru, Hamburg, and Shanghai, with clients ranging from Fortune 500 companies to private equity portfolio firms.

We operate across three core capability areas:

Insights & Strategy: Consumer intelligence, brand assessment, and portfolio optimization to drive profitable growth.
Product Engineering & Design: Architecture, benchmarking, and component optimization from concept through production.
Sustainability & Manufacturing Excellence: Cost-efficient manufacturing at scale with sustainability built in by design.

Our flagship technology platform, Velocity AI, is a PERLab accelerator powered by agentic AI — rebuilding product development as a smart, connected system. Velocity AI connects intelligent agents across the product life cycle, automating tasks, learning continuously, and enabling products to be delivered faster and at lower cost while ensuring sustainability and market relevance.

The Bengaluru engineering team builds and maintains the Velocity platform suite — powering PERLab’s global consulting engagements with AI-driven intelligence.

Working alongside a dedicated and diverse set of people, you will broaden your knowledge and experience in an open, agile, and collaborative environment. With the freedom to be yourself and recognition for what you bring to the table, you can put your purpose into action and help build a future that works for everyone, everywhere—as a Kearney Original.

Responsibilities

1. Own platform reliability and deployment
    Manage the cloud and container platform that supports internal demos, client pilots, and production      deployments.
    Build and maintain CI/CD workflows, release patterns, environment configuration, secrets management, and observability.
    Ensure the platform remains stable, debuggable, and secure as the product portfolio evolves.
2. Build hybrid, on-premise, and edge deployment capabilities
    Design deployment patterns across cloud, client-managed environments, on-premise systems, and air-gapped setups.
    Package repeatable “Velocity in a Box” distributions for high-density compute hardware and client-specific constraints.
    Support data-residency, security, and latency-sensitive requirements that require local execution.
3. Enable AI and GPU workloads
    Deploy and operate model-serving infrastructure, vector databases, agent runtimes, and other AI-specific platform components.
    Manage GPU capacity, storage, networking, and performance tuning for inference-heavy or multimodal workloads.
    Optimize for uptime, latency, utilization, and cost without sacrificing developer velocity.
4. Extend the platform into physical environments
    Support integrations with industrial robots, IoT devices, edge sensors, and factory or engineering data sources where needed.
    Work across conventional and unconventional interfaces to make solutions deployable in the environments where clients actually operate.
    Help define practical deployment patterns for solutions that must bridge software systems and physical operations.
5. Maintain security, operability, and resilience
    Implement identity, access control, network security, backup and recovery, monitoring, logging, and incident-response practices.
    Create clean runbooks, deployment guides, and troubleshooting standards that reduce operational fragility.
    Partner with Kearney security and client IT teams where enterprise controls or custom approvals are required.

Who you are
After nearly 100 years, we know this business is fundamentally about making connections—between facts, figures, insights, strategies, tools, technologies, and above all, people. That’s why we look for collaborative, insightful, and inquisitive problem-solvers who don’t accept the first thing in front of them and who are always unapologetically themselves.

We want to hear from you if you are:

̶Ready to share your ideas and contribute as soon as you join a team
̶Analytically inclined and enjoy solving problems
̶Able to prioritize and are a doer by nature
̶6 – 10 Years of Experience
Strong hands-on platform engineering across Linux, networking, containers, Kubernetes, infrastructure-as-code, and CI/CD.
Experience with Azure and cloud-native infrastructure patterns; experience across additional cloud providers is a plus.
Practical experience operating AI workloads, including model serving, vector databases, GPU-backed infrastructure, and performance troubleshooting.
Experience designing or supporting hybrid, on-premise, or air-gapped deployments.
Strong scripting and automation ability in Python, Bash, or similar languages.
Good security instincts across secrets, identity, networking, environment isolation, and enterprise deployment constraints.
A builder mentality: you debug deeply, remove friction for developers, and care about how systems behave in the real world.
  Client-Facing Mindset
Communicate clearly with senior client stakeholders, domain experts, and non-technical audiences.
Translate messy business problems into crisp technical or product decisions.
Understand where AI can add value in real product and operations workflows rather than chasing novelty.
Personal Traits
High agency and ownership: you move from ambiguity to action without waiting for perfect instructions.
Speed with judgment: you move fast, but you know where rigor matters.
Curiosity and range: you enjoy learning new tools, domains, and problem spaces.
Low ego, high collaboration: you work well with partners, clients, and specialists across disciplines.
Responsible use of AI: you care about security, reliability, and practical value, not just impressive demos.
Nice to Have
Experience with edge or industrial integration patterns, including protocols such as MQTT, OPC UA, or adjacent approaches.
Exposure to robotics, IoT, factory systems, or other deployments close to physical operations.
Experience packaging solutions for NVIDIA DGX-class or other high-density compute environments.
FinOps, capacity planning, and cost optimization experience for AI-heavy workloads.

What we can offer you

Every day, our people work to be the difference for our clients, our communities, and our colleagues. Helping them make an impact, they are sustained by a competitive remuneration package plus comprehensive benefits and perks, including but not limited to:
̶    Generous retirement/pension savings contributions
̶    Comprehensive medical insurance for employees and their families
̶    Non-partner equity-based awards (for consulting managers and above)
̶    Structured and on-the-job learning and development opportunities
̶    Personalized opportunities including talent mobility, flexible work programs and externships to help you chart a unique career journey to pursue your own personal and professional goals
Read more about our benefits and how you can make your mark, your way at Kearney.com/careers.

Equal employment opportunity and non-discrimination

Kearney prides itself on providing a culture where our employees belong and thrive equally, which means our people feel comfort, confidence, and joy as they do great things for our firm, our colleagues, and our clients. That’s why Kearney is committed to building a diverse workforce and inclusive environment. Kearney is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race or ethnicity, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. We encourage everyone to apply, including those who may not feel historically represented in consulting.

Apply now
Submit your CV (doc or .pdf format only) via our website
Interview process
If your profile is shortlisted, we will reach out to you with further details on the interview process.

Language Requirements

NA