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AI Principal Technical Consultant, AI Services

1 week, 6 days ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Software Development
AWS Azure CI/CD Databricks GCP Generative AI Git Kubernetes Machine Learning MLOps Python Snowflake
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AHEAD

AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help...

IT Services
1K-5K
$43M raised
View All Jobs 64

Description

  • Lead the architecture, design, development, and deployment of enterprise AI, GenAI, agentic, automation, and ML-enabled solutions.
  • Translate ambiguous business and technical needs into solution designs, architecture decisions, implementation plans, and engineering workstreams.
  • Design AI solution patterns including retrieval-augmented generation, workflow orchestration, agent-assisted processes, model integration, API-based automation, and human-in-the-loop review.
  • Make architecture decisions across models, data pipelines, APIs, orchestration layers, vector stores, enterprise applications, security controls, and deployment environments.
  • Lead technical delivery across client engagements, including estimation, planning, build, testing, deployment, risk management, and issue resolution.
  • Serve as the technical authority for project teams and own solution quality, engineering standards, and technical decision-making.
  • Partner with client engineering, data, cloud, security, and platform teams to integrate AI solutions into enterprise environments.
  • Lead workshops, architecture sessions, demos, design reviews, and working sessions with technical and non-technical stakeholders.
  • Define and apply engineering practices across code quality, automated testing, CI/CD, observability, monitoring, reliability, scalability, security, and maintainability.
  • Mentor engineers and consultants, review technical designs and code, and contribute to AI offerings, methods, and accelerators.

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 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 and the ability to explain technical trade-offs to executives and non-technical stakeholders.
  • Ability to operate in ambiguous environments, structure technical problems, and make sound architecture decisions.
  • Experience in applied AI consulting, advanced analytics consulting, ML engineering, AI product development, or enterprise AI platform delivery, preferred.
  • Experience with cloud and data platforms such as Azure, AWS, GCP, Databricks, Snowflake, Kubernetes, or similar enterprise platforms, preferred.
  • Experience with LLM frameworks, orchestration tools, vector databases, model serving, ML platforms, or AI governance tooling, preferred.
  • Experience moving AI solutions from prototype or pilot into production environments, preferred.
  • Experience supporting technical pre-sales, solution shaping, architecture proposals, or executive-level technical advisory, preferred.
  • Advanced degree in computer science, engineering, data science, applied mathematics, or a related field is a plus.

Benefits

  • $230,000–$300,000 a year in OTE, including base salary and target bonus.
  • Medical, dental, and vision insurance.
  • 401(k) plan.
  • Paid company holidays.
  • Paid time off.
  • Paid parental and caregiver leave.
  • Cross-department training and development.
  • Sponsorship for certifications and credentials for continued learning.

Interested in this position?

Apply directly on the company website

Apply Now

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