• Deliver high-impact, client-facing engagements independently and/or lead specific workstreams under the supervision of an engagement lead and principal consultants. • Build and optimize LLM applications, including AI Agents, RAG systems, evaluation pipelines, prompt chaining, and output refinement. • Design, implement, and deploy GenAI pipelines using tools such as DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI. • Work hands-on with models like OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as required. • Ingest and process unstructured and structured data for use in GenAI systems, including document parsing, chunking, vectorization, and retrieval. • Collaborate with cross-functional teams to build custom UI and API integrations and GenAI-powered user experiences. • Implement enterprise-grade best practices for security, compliance, evaluation, and governance in GenAI projects. • Develop evaluation frameworks using MLFow, Mosaic AI Eval tools, and standard and custom metrics. • Support CI/CD and DABs for AI applications and promote code and model artifacts across environments. • Contribute to internal accelerators and reusable GenAI components as part of our growing framework library. • Work closely with senior leadership to design architecture and delivery plans tailored to client needs.

• Set the vision and activation strategy • Define and communicate a compelling vision for how AI should reshape Baker Tilly Consulting over the near, medium, and longer term. • Translate firm strategy, market developments, and identified use cases into a prioritized Consulting AI roadmap with clear sequencing, dependencies, investment needs, and success measures. • Advise consulting executives and practice leaders on where to experiment, scale, pause, or redirect effort based on business value, feasibility, risk, and organizational readiness. • Maintain a strong external perspective on advances in generative AI, agentic systems, knowledge technologies, and emerging delivery models, separating durable signals from short-lived hype. • Partner with practice leaders and subject-matter experts to redesign service delivery, workflows, team structures, and client-value propositions around AI-enabled ways of working. • Identify opportunities beyond labor efficiency, including improved quality and consistency, just-in-time staff training, stronger knowledge retention and dissemination, accelerated onboarding, enhanced judgment, and scalable access to expertise. • Evaluate the implications of AI-enabled delivery for pricing, revenue growth, capacity, utilization, leverage models, profitability, intellectual property, and competitive differentiation. • Develop business cases and decision frameworks that connect AI investments to measurable service-line and firm outcomes. • Help convert high-value concepts into repeatable methods, accelerators, playbooks, and operating capabilities that can be adopted across practices. • Serve as the primary Consulting business counterpart to the teams that manage enterprise AI platforms, data, integrations, security, architecture, and technical delivery. • Align the Consulting AI strategy with the firm’s broader workforce upskilling, learning, talent, and change strategies. • Build and mobilize a network of practice leaders, implementation leads, power users, and advocates who can translate the strategy into local action.

Role Description The Manager – Automation, AI & Insights is a hands-on HR operations leader responsible for enabling automation, AI-supported services, analytics, and data governance that simplify work, improve service delivery, and support confident, data-driven decisions at scale. This role balances strategy and execution, ensuring solutions are reliable, scalable, and grounded in how HR work actually gets done. As part of the HR Operations leadership team, this manager is deeply embedded in service delivery. They lead teams responsible for hands-on operational enablement, shape strategy based on real operational demand, and partner across HR, vendors, and the enterprise to ensure solutions are aligned, adopted, and effective. Key Responsibilities - Operational Enablement & Service Delivery: - Lead teams that design, build, and sustain automation, AI-enabled services, analytics, and insights that support HR operations and service delivery. - Stay closely connected to day-to-day HR workflows to ensure solutions reduce complexity, increase capacity, and improve experience for caregivers and leaders. - Automation, AI & Technology Application: - Drive thoughtful application of practical technologies—such as Power Automate, Power BI, Copilot, and agent-based solutions—to improve scale, consistency, and efficiency. - Identify opportunities to streamline, standardize, and modernize HR processes through automation, centralization, and vendor solutions. - Data, Analytics & Insights: - Enable data governance, reporting, and analytics that support operational decision-making and performance management. - Use insights to inform prioritization, measure outcomes, and continuously improve service delivery and vendor performance. - Leadership & Partnership: - Lead and develop high-performing teams responsible for operational execution. - Partner with HR leaders, COEs, Field HR, IT, and vendors to ensure solutions align to business needs and are effectively implemented and adopted. - Collaborate across Operations and Service Delivery to improve end-to-end experiences and outcomes. - Continuous Improvement: - Drive ongoing improvement by identifying opportunities to simplify work, reduce manual effort, and improve service quality. - Support initiatives that focus on key “moments that matter” across the caregiver lifecycle. What Success Looks Like Success in this role comes from proven experience leading HR operations or service delivery teams, paired with the ability to build strategy and enable the practical use of technology. This leader is forward-thinking but grounded—using automation, AI, and data in service of real operational outcomes, not technology for its own sake. Qualifications - Bachelor's Degree in Business, Healthcare Administration, or related field or 4 additional years of related experience solving complex challenges. - 4 years progressive leadership experience. - 6 years HR related experience. Preferred Qualifications - Demonstrated track record of creating/implementing large scale programs, working with internal and external partners, setting performance criteria, guidelines and SLAs. Salary Range by Location - California: All Southern California - Except Bakersfield: Min: $58.79, Max: $92.82 - Oregon: Portland Service Area: Min: $56.40, Max: $89.04 - Washington: Western: Min: $58.79, Max: $92.82 - Washington: Eastern: Min: $50.19, Max: $79.23 Benefits - Comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching. - Health care benefits (medical, dental, vision). - Life insurance and disability insurance. - Time off benefits (paid parental leave, vacations, holidays, health issues). - Voluntary benefits and well-being resources.

Role Description We are looking for experienced PhD-level physicists to contribute to a project focused on improving how advanced AI systems understand, analyse, and explain complex scientific topics. - Research physics problems. - Interpret experimental or theoretical findings. - Develop high-quality scientific explanations. - Evaluate AI-generated content for accuracy and rigor. - The work may cover both fundamental and applied physics, depending on your area of expertise. CONTRACT: Freelance contractor, project-based COMMITMENT: Flexible, based on project workload LOCATIONS: Fully remote HOURLY RATE: $70-$90/h PROCESS: Application review, subject-matter assessment, and client evaluation Qualifications - PhD in Physics or a closely related scientific discipline. - Demonstrated experience conducting advanced scientific research. - Strong knowledge of theoretical, experimental, or applied physics. - Experience writing, reviewing, or publishing scientific content. - Ability to explain complex scientific concepts clearly and accurately. Requirements - Research advanced topics in theoretical or experimental physics. - Analyse scientific data, findings, and research materials. - Develop clear explanations of complex physics concepts. - Create and review physics questions, scenarios, and educational content. - Evaluate AI-generated responses for scientific accuracy and logical consistency. - Identify conceptual errors, unsupported conclusions, and missing context. - Provide structured written feedback to improve AI reasoning and output quality. - Collaborate remotely with project stakeholders during review cycles.