• Proactively and holistically works with enterprise delivery program leaders to define and maintain the architectural runway for business initiatives enabled by emerging AI technologies • Leads the technical integration design supporting implementation of agentic AI systems, including autonomous and semi-autonomous agents, multi‑agent orchestration, Agent‑to‑Agent (A2A) communication patterns, and AI‑enabled business process transformation • Partners with Enterprise Analytics, Security, and I&O programs to develop and govern AI‑focused architectural designs that incorporate Model Context Protocol (MCP)–based tool integrations • Ensures agents operate safely within enterprise boundaries, follow standardized integration patterns, and enhance business capability maturity • Identifies emerging AI and agentic technology trends that enable future‑state business capabilities and optimizes business processes for AI‑native execution • Coaches architects, product owners, delivery teams, and business partners to build competency in AI architecture and agentic design patterns

At AnswerRocket, we build transformative AI solutions that drive measurable results for Fortune 2000 enterprises. For over a decade, we've helped industry leaders across sectors—from consumer goods and retail to healthcare and financial services—harness AI to achieve tangible business outcomes. As we expand our impact, we seek Agentic Operations Consultant to join our growing team. In this role, you’ll partner closely with clients to understand their business objectives and ensure deployed AI agents continue delivering measurable value aligned with those goals. You’ll monitor performance, adoption, and relevance, applying prompt engineering and context-tuning techniques to keep agents accurate, trusted, and impactful. Working as the ongoing steward of each solution, you’ll identify opportunities for optimization, expand use cases, and ensure the Agents deliver insights in ways that drive engagement and decision-making among business stakeholders. This role blends client partnership, analytical problem-solving, and hands-on AI upkeep to sustain and grow the business impact of our agentic solutions over time. This is a fully remote role, supported by an Atlanta-based team, and may include occasional travel to client sites based on project needs. The ideal candidate has: Training & Education – Bachelor’s degree with a focus on data analysis, problem-solving, or related quantitative skills; 3 to 5 years of experience in customer-facing operations, analytics, consulting, or another role involving data-driven decision making. Client Partnership Skills – Build rapport and credibility with stakeholders, align agent capabilities to evolving goals, and drive adoption, measurable results, and long-term value. Skilled at uncovering new use cases, guiding AI-driven transformation, and expanding account impact through increased outcomes, adoption, and revenue. Prompt / Context Engineering Experience – Experience with designing, refining, and maintaining prompts and context to optimize AI agent outputs. General AI and GenAI Interest – Experience with large language models (e.g., GPT, Claude, Gemini) and how they can be adapted for business use. Technical Acumen – High Level of proficiency with spreadsheets (Excel, Google Sheets), including advanced functions such as pivot tables, VLOOKUP, and data visualizations.  Experience with and working knowledge of SQL, JSON, and Python (basic scripting), with a background in data analytics, BI, or software implementation and a desire to deepen technical skills. Passion for Learning and Innovation – A curious and driven individual who embraces continuous learning, stays up-to-date on AI advancements and contributes to Agentic Operations. Analytical Thinking, Problem-Solving and Adaptability – Comfortable working with data to identify patterns, track adoption, and recommend optimizations. A self-starter who thrives in ambiguity, can creatively solve problems, and manage multiple projects across different industries. Strong Communication Skills – Ability to clearly convey ideas between technical and non-technical audiences, both in meetings and written updates. Data Storytelling and Insight Communication – Demonstrated ability to prepare and deliver high-quality presentations (PowerPoint, Google Slides).  Ability to translate complex data into meaningful insights, crafting compelling narratives that help clients make informed, data-driven business decisions.  Strong business acumen. Resourceful and Proactive – A hands-on problem solver with a "get it done" attitude, ready to jump in, tackle challenges head-on, and find creative solutions to drive results. Bonus points if you have: Experience in management consulting and/or deep vertical specialization. Familiarity with Kimball Group’s Best Practices for data modeling and warehousing. Why AnswerRocket? Join a team that's been singularly focused on enterprise AI since before it was mainstream. Here's what building your career with us looks like: Lead high-visibility projects that transform how global organizations operate, adding immediate impact to your portfolio Work directly with senior executives at the world’s most interesting companies, building the consulting and strategic skills that accelerate your career Develop hands-on expertise with the latest AI technologies, from large language models to our proprietary development frameworks Learn from experienced mentors while taking ownership of complex technical and business challenges Grow rapidly in a fast-paced environment where innovation and initiative are rewarded Plus, we offer: Leadership : Play a key role in shaping the future of a company at the forefront of AI innovation, contributing to groundbreaking products, transformative solutions, and industry success stories. Competitive Pay : Earn a competitive salary with opportunities for growth and recognition. Comprehensive Benefits: Access health, dental, and vision insurance, Paid Time Off and parental leave, offering flexibility to support your well-being. Remote-First Culture: Thrive in a flexible environment with additional opportunities for in-person meetups to foster connection and collaboration. Professional Growth: Build your skills and creativity while working on innovative projects that redefine what’s possible with AI. We value collaboration, transparency, and inclusivity, welcoming diverse perspectives and encouraging applications even if you don’t meet every qualification. Our talented and passionate team is ready to make a difference—join us and do the best work of your life!

• Embed with Study Delivery to deeply understand how studies are created, launched, and run • Identify and implement AI-powered automation for repetitive, manual processes • Ship product features in our operator portal • Create tooling and scripts that solve immediate operational pain points • Enable non-engineering teams to adopt AI tools in their own workflows • Act as the connective tissue between Study Delivery and the broader engineering and product organization

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients. Key Responsibilities - Define the end-to-end architecture for AI products on Google Cloud Platform (GCP), ensuring high availability, security, and cost-effectiveness. - Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale. - Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed. - Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases. - Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team. - Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load. - Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time. - Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements. - Mentor engineers on best practices for building deterministic software around probabilistic AI models. Qualifications - 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development. - Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation. - Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex. - Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms. - Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud. - Experience in Typescript development for prototyping and integrations. - Proficiency with git workflows and understanding of standard application development processes. Preferred Qualifications - Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT). - Experience optimizing inference costs and latency for large-scale deployments. - Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures. Benefits - Net-zero cost medical option. - Company contributions to your HSA. - Fertility support. - Fully-paid parental leave. - Monthly stipend for your lifestyle spending account. - And much more.