Role Description A fast-growing cloud-native professional services company is hiring Forward Deployed Engineers for a new AI-focused business unit built around enterprise LLM adoption. This is a startup-style team inside a larger, established consulting organization: small team, high autonomy, direct client ownership, and real delivery responsibility from day one. You’ll work directly with enterprise customers to take AI from idea to production. Engagements may focus on AI-assisted software development, agentic engineering workflows, RAG/LLM applications, or applied AI enablement for business teams. - Own client engagements end-to-end: discovery, scoping, architecture, delivery, enablement, and expansion. - Run stakeholder interviews, technical workshops, architecture reviews, and enablement sessions. - Build or guide production AI systems such as agents, RAG pipelines, AI-native apps, workflow automations, or AI-assisted SDLC tooling. - Translate ambiguous business problems into practical, deliverable technical solutions. - Work with both technical and non-technical stakeholders, from engineers and architects to VP/C-suite leaders. - Identify opportunities to expand accounts through strong delivery and proactive problem-solving. - Leave clients with durable capability: documented, maintainable systems, workflows, and enablement materials. Qualifications - 4–10 years of experience in client-facing technical delivery, consulting, systems integration, professional services, FDE, solutions engineering, or customer-facing software engineering. - Hands-on experience with LLM applications, AI agents, RAG pipelines, AI workflows, or AI-assisted development tools. - Comfortable with tools such as Claude, Claude Code, Cursor, Codex, AWS Bedrock, LangChain/LangSmith, Python, AWS, Kubernetes, Zapier, Power Automate, or similar. - Strong consulting instincts: able to run discovery, manage stakeholders, communicate clearly, and drive outcomes without heavy oversight. - Able to speak technically with engineers while also explaining business value to executives. - High tolerance for ambiguity and a bias toward action. Requirements - Two strong-fit profiles: - AI/Workflow Transformation FDE: Consulting, implementation, or enterprise SaaS delivery background with hands-on AI enablement experience. Strong fit for candidates who have helped business teams adopt AI tools, automate workflows, or transform knowledge-worker processes. - Technical / SDLC FDE: Software engineering background with client-facing delivery experience. Strong fit for candidates who have built production AI systems, agentic coding workflows, developer tooling, RAG apps, or engineering enablement programs. - Strong signals: - Prior consulting, professional services, systems integration, or implementation experience. - Experience leading workshops, enablement sessions, or technical discovery. - AWS/cloud consulting background. - Production AI/LLM project experience. - Account expansion or “sell-do” delivery experience. - Comfort working remotely with up to 50% travel depending on client needs.

Title:Sr. AI Engineer Consultant (Hybrid-In Office) Job Level: W2T Consultant Job Location: Hybrid, Charlotte, NC Travel Expectations: 10% Job Classification: Temporary (W2T) Join Centric Consulting - A Culture You'll Love Job Description: At Centric Consulting, we've cultivated a unique approach to business. Our business is built on three fundamental principles: Enjoy the people you work with, have fun, and do great work. These principles define our consulting model and have crafted one of the most vibrant cultures in the consulting industry - celebrating individuals, collaboration, and lifelong friendships. We are looking for an AI Engineer to lead the build of our clients next-generation platform. You will be instrumental in designing, building, stabilizing, and scaling enterprise-grade AI solutions using Microsoft's Azure AI ecosystem. As a senior technical resource with expertise in AI architectures, MLOps, and orchestration frameworks, you will evaluate and enhance our clients Copilot Studio agents, ensuring they are scalable, accurate, maintainable, and aligned with modern Azure AI best practices. This role is central to our mission of transforming media sales through prescriptive, actionable intelligence. In this role, you will: - Copilot Optimization: Analyze and refactor Copilot Studio agents to eliminate redundancies, improve routing efficiency, and streamline topic structures for better maintainability. - Generative AI Modernization: Transition static, rule-based topics into grounded generative experiences and replace legacy ingestion methods with modern Azure AI approaches. - Advanced RAG Implementation: Enhance solution accuracy by integrating Azure AI Foundry capabilities, including Cognitive Search with vector embeddings and custom RAG endpoints. - Sophisticated AI Features: Implement high-level capabilities like multi-step reasoning, context persistence, summarization, and function calling for complex user interactions. - End-to-End MLOps: Design and manage scalable AI/ML pipelines, covering everything from model fine-tuning and versioning to CI/CD, monitoring, and security. - Architectural Leadership: Serve as the technical lead to design scalable architectures, guiding best practices and ensuring internal teams can maintain the solution post-handoff. - Operational Enablement: Develop infrastructure-as-code for resilient workloads and produce comprehensive documentation, including troubleshooting guides and operational playbooks. Who You Are: - Experience: 8+ years in software architecture or cloud engineering, with at least 3+ years specifically focused on production-grade AI/ML solutions. - AI Ecosystem: Strong hands-on experience with Microsoft Copilot Studio and Azure AI Foundry (formerly Azure AI Studio). - Technical Proficiency: Expert-level Python for AI/ML development and automation; additional experience in C#, .NET, or Java is preferred. - AI Specialization: Solid understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector databases. - MLOps & DevOps: Demonstrated experience with model lifecycle management, CI/CD pipelines, and designing resilient, serverless AI workloads. - Problem Solving: Proven ability to troubleshoot, refactor, and optimize existing AI solutions to meet 99.8% accuracy targets. - Soft Skills: Ability to lead architectural discussions with executive stakeholders and translate business needs into technical AI requirements. Total Rewards: We proudly offer competitive compensation, a comprehensive and well-rounded benefits package for full-time employees that have been designed to nourish your well-being, such as health coverage, wellness programs, 401K company match, self-managed PTO, and other unique incentives that celebrate your accomplishments. - Remote and Hybrid Work - Time Off When You Need It - Benefits That Flex - Professional Development While benefits eligibility may vary for roles that are not full-time, we provide unique opportunities for growth, skill development, and more. Regardless of your role, you'll be part of a collaborative environment where every team member contributes to our shared success. Discover more about our benefits by exploring additional details here benefits. Who We Are: Founded in 1999 with a remote workforce, we combine the benefits of experience, flexibility, and cost efficiency to create tailored solutions centered on what's best for businesses. Now numbering more than 1,400 employees in the U.S. and India, we're committed to solving clients' toughest problems and delivering on our mission of providing unmatched experiences. Our purpose at Centric Consulting is to bring unmatched experiences to clients and employees. These aren't just words we use - it's how we became a company and who we are today. Providing an unmatched experience means we approach each other as human beings and lead with empathy and humility. It means we work diligently to ensure we are a place where everyone can create a sense of belonging and feel respected for who they are. What Makes Centric a Great Place to Work? We know that creating and sustaining an authentically welcoming culture requires that we all play a part in promoting diversity, equity, and inclusion, from our business practice to how we show up for employees and communities. This is how we bring our mission and core values to life, working together to provide the highest quality services to our clients while allowing our employees to reach their full potential. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the application or interview process. #LI-Hybrid

• Learn and deeply understand CX priorities, processes, systems, stakeholders, and pain points across Professional Services, Customer Adoption Management, Managed Services, and Customer Enablement; with a focus on delivery/implementation. • Identify and translate AI use cases that improve productivity, customer experience, time-to-value, and employee effectiveness across the post-sales customer journey. • Maintain and prioritize a CX AI opportunity backlog based on value, feasibility, risk, and strategic alignment — managing both inbound requests from CX leaders and proactively identified opportunities. • Design and build production-grade AI tools and workflows, including AI-assisted implementation workflows, AI copilots for consultants, and automated customer communications. • Build and maintain reliable integrations, automations, and data sync patterns across the CX stack, improving data quality, reducing tool sprawl, and ensuring actions are triggered from trusted signals. • Establish an AI/automation operating cadence for CX: intake → prioritization → build → QA → release → measure → iterate, with clear owners, SLAs, and documentation to reduce ad hoc requests and rework. • Act as the connector between CX and IT, communicating needs, priorities, and delivery context to ensure AI solutions are governed, supportable, and scalable. • Act as the connector between CX and Product & Technology, influencing architecture, integrations, and onboarding of Vena AI solutions and representing CX/PS in the product team’s AI vision. • Partner with IT, Security, Data, and Governance teams to ensure all AI solutions meet Vena’s responsible AI standards and actively contribute to evolving the governance framework as CX AI matures. • Drive adoption through enablement: stakeholder training, playbooks, change management, and feedback loops that turn prototypes into repeatable, scalable workflows used day-to-day. • Possible travel to Vena headquarters in Toronto and or customer offices in the US

• Partner with People team members and cross-functional stakeholders to design, build, and maintain HR tech solutions. • Act as a key voice in roadmap planning, experimentation frameworks, and modeling strategy discussions. • Identify gaps in data, tools, and processes and lead initiatives to close them. • Develop and deploy AI-powered tools and automations that transform core HR processes. • Integrate people systems with core enterprise platforms to ensure seamless data flow. • Evaluate and implement emerging technologies, staying current on advancements in AI and HR technology. • Enable and support end users through documentation, training, technical support, and troubleshooting.