Principal Technical Consultant, AI Services

🕒 May 22

🇺🇸 United States – Remote

💵 $230k - $300k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AHEAD

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 $5.7M Venture Round - AHEAD on 2024-05

Consulting • Artificial Intelligence • Enterprise

AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.

📋 Description

• 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

• 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

• 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.