Principal Technical Consultant, Platform Engineering

About this role

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.

AHEAD helps large enterprises assess, design, build, and migrate to Amazon Web Services (AWS), and increasingly helps those same enterprises design, build, and run AI agent platforms on top of it. This role sits in the AIC Platform Engineering practice, alongside consultants who lead AWS assessments, landing zone build-outs, and cloud migrations, and specializes that practice's AWS depth toward AI agent platforms. As a Principal Technical Consultant, you own that work end to end at client sites: you assess current state, design the target platform, build it, wire up the delivery pipeline, and leave the client team able to run it without you.
This is a hands-on role with delivery leadership attached. You will write infrastructure code, agent code, and the documents that client governance boards approve, and you will lead the junior and mid-level consultants delivering alongside you. You will present your own work to engineering leaders and executives, and you will teach client makers, developers, and platform teams how to build on what you delivered. Our clients include firms in regulated and confidentiality-driven industries, so the platforms you build are private-networked, policy-governed, and evaluated before anything reaches production.

What you will do

Consulting and delivery leadership

• Work directly with client stakeholders to interpret business and operational challenges and translate them into the right technical solution, whether that is an AWS landing zone, a migration wave, or an agentic platform: which platform fits, what data and governance boundaries apply, and what the first production candidate should be.

• Lead junior and mid-level consultants on your engagements: set technical direction, review their work, unblock them daily, and develop them into independent delivery owners.

• Shape engagements alongside AHEAD account teams: scope workstreams, define deliverables, estimate effort, and keep delivery on plan as client priorities shift.

• Build and maintain strong client relationships beyond the current statement of work, and identify opportunities to expand AHEAD's footprint through upsell and cross-sell.

• Serve as the senior technical voice in client steering and working sessions, presenting options with tradeoffs and a clear recommendation rather than a menu.

AWS platform engineering

• Lead AWS discovery and assessment engagements: current-state architecture reviews, workload and application inventories with AWS Application Discovery Service, dependency mapping, and cloud readiness assessments that inform landing zone and migration roadmaps.

• Design and deploy enterprise-scale AWS landing zones using AWS Control Tower and Landing Zone Accelerator: multi-account structures under AWS Organizations, service control policies, centralized logging, and IAM Identity Center foundations.

• Plan and execute migrations to AWS: workload assessment and wave planning with AWS Migration Hub, application migration with AWS Application Migration Service (MGN) and Database Migration Service (DMS), cutover runbooks, and post-migration validation across compute, storage, databases, and containers.

• Establish hybrid and cross-premises connectivity: AWS Direct Connect, Site-to-Site VPN, and Route 53 Resolver strategies that connect client on-premises environments to AWS.

• Own cost governance and FinOps practices: AWS Budgets and Cost Anomaly Detection, tagging standards, Savings Plans and Reserved Instance strategy, and showback or chargeback reporting through Cost Explorer.

AI agent platform engineering and delivery

• Design and deploy Amazon Bedrock environments for enterprise clients, including network-isolated configurations behind client firewalls: VPC endpoints, AWS PrivateLink, IAM role and resource policy design, and KMS customer-managed keys.

• Stand up Bedrock AgentCore and Bedrock Agents governance for client accounts: guardrails, model access policies, knowledge base and connector governance, and licensing and capacity guidance.

• Build promotion pipelines in GitHub Actions that move agents from sandbox to production through automated tests, evaluation thresholds, and human approval gates implemented as environment protection rules.

• Implement evaluation and safety frameworks: golden datasets, quality, retrieval, and safety evaluators run in CI, Bedrock Guardrails, and compensating controls for model paths where platform content filtering does not apply.

• Develop agents in code with Bedrock AgentCore and bring-your-own-framework options such as Strands or LangGraph, and establish ALM so agents move between environments by pipeline rather than by hand.

• Advise clients on model selection and placement across the Bedrock model catalog, including Anthropic and Amazon Nova models, with data residency, in-region inference, and cost as first-class constraints.

Documentation and enablement

• Author the design documents, as-builts, build guides, technical roadmaps, and runbooks the client operates from after the engagement ends.

• Run workshops, enablement sessions, and office hours for…