AHEAD
AI Principal Technical Consultant, AI Services
United States · Principal
Sponsorship not specified$230k-$300kDetected 60 days ago
PythonSnowflakeDatabricksVector DatabasesAWSGCPAzureCloud PlatformsKubernetesCI/CDMachine LearningData EngineeringData ScienceLLMsRAGLLMOpsMLOpsAI OrchestrationCybersecurityTest AutomationResearchLeadershipCommunication
About the role
- We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
- This is a senior hands-on technical leadership role for someone who can turn ambiguous business problems into scalable, secure, production-ready AI systems.
- You will work directly with client technology and business leaders to define solution architecture, guide engineering teams, make technical trade-offs, and ensure that AI initiatives move from prototype to measurable business impact.
Responsibilities
- Architect and build enterprise AI solutions
- Lead the architecture, design, development, and deployment of enterprise-grade AI, GenAI, agentic, automation, and ML-enabled solutions.
- Translate ambiguous business and technical requirements into clear solution designs, architecture decisions, implementation plans, and engineering workstreams.
- Design and build AI solution patterns such as retrieval-augmented generation, workflow orchestration, agent-assisted processes, model integration, API-based automation, and human-in-the-loop review.
- Lead technical delivery across client engagements
- Lead technical workstreams across one or more client engagements, including estimation, planning, design, build, testing, deployment, risk management, and issue resolution.
- Partner with client engineering, data, cloud, security, and platform teams to integrate AI solutions into enterprise environments.
- Lead technical workshops, architecture sessions, demos, design reviews, and working sessions with both technical and non-technical stakeholders.
- Design AI systems with appropriate controls for privacy, security, governance, compliance, auditability, and human oversight.
- Build and improve reusable components, reference architectures, deployment patterns, and accelerators that strengthen AHEAD's AI delivery capability.
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.
- Strong understanding of modern engineering practices, including CI/CD, automated testing, version control, containerization, monitoring, reliability, security, and scalable deployment.
- 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.
Nice to have
- 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.
- What is not required
Skills
- AHEAD builds platforms for digital business.
- Final hiring decisions are ultimately made by humans.
- Candidates will not be penalized for choosing to opt-out.
Compensation
- The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount.
Benefits
- Medical, Dental, and Vision Insurance
- Paid parental and caregiver leave
- Plus more! See benefits https://www.aheadbenefits.com/ for additional details.
Visa & Work Authorization
- You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application.
This listing is sourced directly from AHEAD's careers page and normalized into a canonical job model.