[Remote] AI Principal Technical Consultant, AI Services

Note: The job is a remote job and is open to candidates in USA. AHEAD builds platforms for digital business and is seeking a Principal Technical Consultant in AI Services to lead the architecture and deployment of enterprise-grade AI solutions for clients. This senior role involves working directly with client leaders to define solution architecture and guide engineering teams to ensure AI initiatives drive measurable business impact.ResponsibilitiesLead technical delivery across client engagementsEstablish production-grade AI engineering standardsPartner across strategy, business, and technical teamsMentor teams and build the AI Services practiceArchitect and build enterprise AI solutionsLead the architecture, design, development, and deployment of enterprise-grade AI, GenAI, agentic, automation, and ML-enabled solutionsTranslate ambiguous business and technical requirements into clear solution designs, architecture decisions, implementation plans, and engineering workstreamsDesign 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 reviewMake practical architecture decisions across models, data pipelines, APIs, orchestration layers, vector stores, enterprise applications, security controls, and deployment environmentsEnsure solutions are scalable, secure, maintainable, observable, and aligned to measurable client outcomesLead technical workstreams across one or more client engagements, including estimation, planning, design, build, testing, deployment, risk management, and issue resolutionServe as the technical authority for project teams, owning solution quality, engineering standards, and technical decision-makingPartner with client engineering, data, cloud, security, and platform teams to integrate AI solutions into enterprise environmentsLead technical workshops, architecture sessions, demos, design reviews, and working sessions with both technical and non-technical stakeholdersCommunicate complex technical concepts clearly to senior business and technology leadersDefine and apply strong engineering practices across code quality, automated testing, CI/CD, observability, monitoring, reliability, scalability, security, and maintainabilityEstablish practical patterns for LLMOps / MLOps, model integration, prompt and workflow management, evaluation, guardrails, performance monitoring, and responsible AI usageDesign AI systems with appropriate controls for privacy, security, governance, compliance, auditability, and human oversightBuild and improve reusable components, reference architectures, deployment patterns, and accelerators that strengthen AHEAD’s AI delivery capabilityEnsure pilots are built with a credible path to production and scale, not as isolated demosWork with strategy consultants, solution managers, architects, engineers, and client stakeholders to connect business priorities with technical executionHelp clients assess trade-offs across speed, cost, risk, usability, accuracy, reliability, and long-term maintainabilityShape technical roadmaps that sequence pilots, platform enablers, integration work, governance requirements, and scale-up activitiesHelp define success metrics for AI solutions, including business impact, adoption, model/application quality, reliability, and operational performanceAct as a bridge between executive ambition and engineering realityCoach engineers, consultants, and technical specialists on solution design, engineering quality, client communication, and delivery excellenceReview technical designs and code to ensure high-quality, maintainable, production-ready outputContribute to AHEAD’s AI offerings, technical methods, architecture standards, accelerators, and thought leadershipSupport pre-sales and solution shaping by helping define technical scope, delivery approach, effort estimates, risks, and implementation plansHelp elevate AHEAD’s reputation as a firm that can not only advise on AI, but build and scale it in enterprise environmentsSkillsTypically 7–12+ years of experience in software engineering, ML engineering, applied AI, data science engineering, AI solution architecture, technical consulting, or enterprise technology deliveryStrong hands-on engineering experience, especially with Python, APIs, cloud-native development, data integration, workflow automation, and enterprise system integrationExperience designing, building, and deploying production-grade AI, GenAI, ML, automation, or advanced analytics solutionsPractical familiarity with AI solution patterns such as RAG, LLM application design, agentic workflows, orchestration, model integration, vector databases, evaluation, guardrails, and observabilityStrong understanding of modern engineering practices, including CI/CD, automated testing, version control, containerization, monitoring, reliability, security, and scalable deploymentAbility to lead technical teams, review designs and code, mentor engineers, and drive delivery quality across complex workstreamsStrong client-facing communication skills, including the ability to explain technical trade-offs clearly to engineering teams, executives, and non-technical stakeholdersAbility to operate in ambiguous environments, structure technical problems, make sound architecture decisions, and guide teams toward practical outcomesExperience in applied AI consulting, advanced analytics consulting, ML engineering, AI product development, or enterprise AI platform deliveryBackground from a high-performing consulting, technology, AI, cloud, data, or software engineering organizationExperience with cloud and data platforms such as Azure, AWS, GCP, Databricks, Snowflake, Kubernetes, or similar enterprise platformsExperience with LLM frameworks, orchestration tools, vector databases, model serving, ML platforms, or AI governance toolingExperience moving AI solutions from prototype or pilot into production environmentsExperience supporting technical pre-sales, solution shaping, architecture proposals, or executive-level technical advisoryAdvanced degree in computer science, engineering, data science, applied mathematics, or a related field is a plusBenefitsMedical, Dental, and Vision Insurance401(k)Paid company holidaysPaid time offPaid parental and caregiver leaveSee benefits https://www.aheadbenefits.com/ for additional details.Company OverviewAHEAD is a solutions-based company that helps clients move to an optimized IT service delivery model. It was founded in 2007, and is headquartered in Chicago, Illinois, USA, with a workforce of 1001-5000 employees. Its website is https://www.ahead.com.Company H1B SponsorshipAHEAD has a track record of offering H1B sponsorships, with 9 in 2026, 24 in 2025, 19 in 2024, 22 in 2023, 20 in 2022, 18 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.