Principal Technical Consultant, AI Services

Thinkahead Consultant Psychologist Pty Ltd

Lead the architecture, engineering, and deployment of enterprise AI solutions for clients at AHEAD. Support client technology leaders to turn business problems into production-ready AI systems.

Posted 5/22/2026full-timeRemote • 🇺🇸 United StatesLead💰 $230,000 - $300,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Architect and build enterprise AI solutions
Lead technical delivery across client engagements
Establish production-grade AI engineering standards
Partner across strategy, business, and technical teams
Mentor teams and build the AI Services practice

Requirements

What you’ll need

Typically 7–12+ years of experience in software engineering, ML engineering, applied AI, data science engineering, AI solution architecture, technical consulting, or enterprise technology delivery.
Strong hands-on engineering experience, especially with Python, APIs, cloud-native development, data integration, workflow automation, and enterprise system integration.
Experience designing, building, and deploying production-grade AI, GenAI, ML, automation, or advanced analytics solutions.
Practical familiarity with AI solution patterns such as RAG, LLM application design, agentic workflows, orchestration, model integration, vector databases, evaluation, guardrails, and observability.
Strong understanding of modern engineering practices, including CI/CD, automated testing, version control, containerization, monitoring, reliability, security, and scalable deployment.
Ability to lead technical teams, review designs and code, mentor engineers, and drive delivery quality across complex workstreams.
Strong client-facing communication skills, including the ability to explain technical trade-offs clearly to engineering teams, executives, and non-technical stakeholders.
Ability to operate in ambiguous environments, structure technical problems, make sound architecture decisions, and guide teams toward practical outcomes.
Experience in applied AI consulting, advanced analytics consulting, ML engineering, AI product development, or enterprise AI platform delivery.
Background from a high-performing consulting, technology, AI, cloud, data, or software engineering organization.
Experience with cloud and data platforms such as Azure, AWS, GCP, Databricks, Snowflake, Kubernetes, or similar enterprise platforms.
Experience with LLM frameworks, orchestration tools, vector databases, model serving, ML platforms, or AI governance tooling.
Experience moving AI solutions from prototype or pilot into production environments.
Experience supporting technical pre-sales, solution shaping, architecture proposals, or executive-level technical advisory.
Advanced degree in computer science, engineering, data science, applied mathematics, or a related field is a plus.

Benefits

Comp & perks

Medical, Dental, and Vision Insurance
401(k)
Paid company holidays
Paid time off
Paid parental and caregiver leave
Plus more! See benefits https://www.aheadbenefits.com/ for additional details.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAPIscloud-native developmentdata integrationworkflow automationenterprise system integrationAI solution architectureML engineeringadvanced analyticsCI/CD

Soft Skills

leadershipmentoringclient-facing communicationproblem structuringtechnical advisorydelivery qualitycross-team collaborationexplaining technical trade-offsoperating in ambiguous environmentsguiding teams

Certifications

advanced degree in computer scienceadvanced degree in engineeringadvanced degree in data scienceadvanced degree in applied mathematics