AI Principal Technical Consultant, AI Services in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Principal Technical Consultant, AI Services in United States.

This senior-level consulting and technical leadership role focuses on designing and delivering enterprise-grade AI solutions that transform how organizations operate at scale. You will act as a key bridge between business stakeholders and engineering teams, translating ambiguous challenges into robust, production-ready AI architectures. Working across multiple client engagements, you will guide solution design, oversee technical delivery, and ensure AI systems are scalable, secure, and aligned with measurable business outcomes. The role combines deep hands-on engineering with strategic advisory responsibilities in a fast-evolving AI landscape. You will also help shape best practices for GenAI, LLM applications, and agentic workflows within enterprise environments. Operating in a client-facing capacity, you will influence both technical direction and executive decision-making.

You will lead the end-to-end architecture, design, and deployment of enterprise AI solutions while ensuring technical excellence and business alignment across client engagements. You will serve as a senior technical authority, guiding teams from ideation through production and enabling scalable, responsible AI adoption.

• Design and implement enterprise AI, GenAI, ML, and automation solutions, including RAG, agentic workflows, and orchestration systems
• Translate complex business and technical requirements into scalable architecture designs and implementation roadmaps
• Lead technical delivery across client engagements, including planning, estimation, execution, risk management, and deployment
• Act as the primary technical authority, ensuring engineering quality, scalability, security, and reliability of AI systems
• Partner with client engineering, cloud, data, and security teams to integrate AI solutions into enterprise environments
• Facilitate technical workshops, architecture reviews, and executive-level discussions with both technical and non-technical stakeholders
• Define and enforce production-grade engineering standards including CI/CD, testing, observability, and LLMOps/MLOps practices
• Build reusable frameworks, accelerators, and reference architectures to strengthen enterprise AI delivery capabilities
• Support pre-sales and solution shaping activities, including scoping, technical design, and effort estimation
• Mentor engineers and consultants to elevate delivery quality and strengthen internal AI capabilities

This role requires strong hands-on engineering expertise combined with deep experience in applied AI systems, architecture leadership, and client-facing consulting environments. You should be equally comfortable coding, designing systems, and advising senior stakeholders.

• 7–12+ years of experience in software engineering, ML engineering, AI architecture, data science engineering, or technical consulting
• Strong hands-on experience with Python, APIs, cloud-native development, and enterprise system integration
• Proven experience designing and deploying production-grade AI, GenAI, or ML-based systems
• Deep familiarity with modern AI patterns such as RAG, LLM orchestration, agentic workflows, vector databases, and model integration
• Strong understanding of cloud and data platforms (AWS, Azure, GCP, Databricks, Snowflake, Kubernetes, or similar)
• Experience with CI/CD pipelines, observability, testing frameworks, security, and scalable deployment practices
• Ability to lead technical teams, review architecture/code, and mentor engineers in complex environments
• Strong communication skills with the ability to translate technical complexity for executives and non-technical stakeholders
• Experience operating in ambiguous, fast-paced consulting or enterprise transformation environments
• Background in applied AI consulting or enterprise AI delivery is highly preferred

• Competitive on-target earnings (base salary plus bonus)
• Comprehensive medical, dental, and vision insurance
• 401(k) retirement savings plan
• Paid time off and paid company holidays
• Paid parental and caregiver leave
• Access to advanced technology labs and continuous learning resources
• Certification sponsorship and professional development support
• Remote-friendly and collaborative work environment
• Inclusive culture with employee resource groups and diversity initiatives
• Additional wellness and employee support programs