Agentic AI Architect

Role Description

NewRocket is hiring an experienced Agentic AI Architect to support a large global client and help shape, design, and deploy enterprise AI solutions. This role combines AI/ML architecture, generative AI engineering, data engineering, cloud solution design, and technical leadership.

• Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases.
• Define end-to-end solution architectures spanning data ingestion, data preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance.
• Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into actionable technical designs and delivery roadmaps.
• Design solutions for predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation.
• Establish technical standards, reference architectures, reusable patterns, and best practices for enterprise AI delivery.
• Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, and client demonstrations.

Qualifications

• 10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases.
• Strong coding expertise in Python and SQL, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions.
• Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns.
• Hands-on experience with LLM concepts and application-development patterns, including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation.
• Proficiency with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
• Hands-on experience with cloud platforms such as AWS, Azure, and/or Google Cloud.
• Experience with big-data processing and cloud data platforms, including Apache Spark and Snowflake.
• NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies.
• Strong understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices.
• Experience with data visualization tools such as Tableau and Power BI.
• Knowledge of responsible AI practices, including privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment.
• Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills.
• Ability to collaborate effectively across client, consulting, engineering, product, data, and AI/ML teams.
• Ability to learn and adapt quickly as AI technologies, enterprise requirements, and client needs evolve.

Requirements

• Design and implement enterprise generative AI applications using Claude, the Anthropic API, and other LLM platforms.
• Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in approved enterprise documents, knowledge bases, databases, and other data sources.
• Develop agentic workflows that integrate with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems.
• Implement human-in-the-loop controls for sensitive, high-impact, low-confidence, or exception-based actions.
• Evaluate agent effectiveness through task-completion rates, quality, reliability, latency, cost, safety, and user-adoption measures.

Benefits

• Travel to clients and conferences as needed.
• NewRocket is committed to a diverse and inclusive workplace.
• We value and celebrate diversity, believing that every employee matters and should be respected and heard.
• We are proud to be an equal opportunity workplace and affirmative action employer.