• Architect end-to-end machine learning and data science solutions on Azure and Databricks, from feature engineering through model serving and monitoring. • Design and govern MLOps pipelines using Databricks MLflow, Model Serving, and related tooling to enable repeatable, production-grade model deployment. • Architect generative AI solutions including Retrieval-Augmented Generation, agentic workflows, fine-tuning, document intelligence, embeddings, evaluation frameworks, and computer vision. • Contribute to modern data estate architectures using Microsoft Fabric and/or Azure Databricks, including lakehouse patterns and medallion architecture, to support ML and analytics workloads. • Contribute to client data strategy engagements including maturity assessments, analytics roadmaps, and governance frameworks in partnership with practice leadership. • Independently lead client-facing presales engagements, discovery workshops, and architecture reviews as the primary technical authority on data science and AI pursuits. • Develop level-of-effort estimates, architecture deliverables, and technical contributions to Statements of Work for client pursuits. • Provide delivery design assurance and architectural governance across active data science and AI engagements, including code reviews of Python, PySpark, and ML model implementations. • Design cloud-native Azure architectures using CAF and Well-Architected Framework principles as they apply to AI and data workloads.

• Contributes to the development of complex security-centric solution architectures across business, infrastructure, application, and cloud environments. • Identifies and evaluates alternative security architectures and analyzes trade-offs in risk reduction, cost, performance, and scalability. • Produces specifications for cloud or on-premises components with an emphasis on security controls, identity and access management, encryption standards, network segmentation, and compliance requirements. • Designs components using modelling techniques that incorporate security-by-design principles, Zero Trust concepts, and industry frameworks (e.g., NIST CSF, ISO 27001). • Creates multiple design views for stakeholder concerns, including non-functional security requirements, and develops security proof-of-concepts (POCs). • Supports change programs with technical planning aligned to enterprise security architecture standards and regulatory requirements. • Ensures solutions meet data protection and cybersecurity obligations (GDPR, HIPAA, PCI-DSS, SOC 2). • Leads understanding of client security requirements, gathers and analyzes threat/risk data, and provides expert remediation guidance. • Advises clients on security modernization, cloud security, secure application design, and emerging cybersecurity practices. • Recommends new security services and contributes to security go-to-market offerings. • Provides coaching and mentoring to less experienced architects and engineers. • Design and deliver secure architectures for AI-driven and agentic systems (LLMs, RAG, autonomous agents), addressing emerging risks such as prompt injection, data poisoning, and model/data leakage. • Define and implement security controls across the AI lifecycle (data, model, inference, orchestration), embedding governance, identity, and policy into LLMOps/MLOps pipelines. • Advise clients on securing human-to-agent and agent-to-agent interactions, applying zero trust principles and ensuring auditability, compliance, and safe autonomous behavior in production environments.

• Lead end-to-end solution design for enterprise applications built on Java, Spring Boot, and modern front-end frameworks • Partner directly with clients to understand business goals, uncover technical constraints, and architect solutions that balance innovation, scalability, and cost • Define system architectures, integration patterns, data flows, and cloud deployment strategies • Identify opportunities to embed AI/ML capabilities into solutions, including LLM-powered features, intelligent automation, and AI-assisted workflows • Create architectural artifacts such as diagrams, reference architectures, and technical roadmaps • Guide engineering teams through implementation, ensuring alignment with architectural standards and best practices • Evaluate new technologies, frameworks, and AI tools to inform solution strategy • Facilitate technical workshops, discovery sessions, and design reviews with client stakeholders • Ensure solutions meet enterprise requirements for security, performance, reliability, and maintainability • Mentor technical leads and engineers, fostering a culture of technical excellence and continuous improvement

• Influence prospective customers with support onsite and provide remote executive overviews • Be a subject matter expert in all Redzone modules • Lead onsite and remote opportunity assessments for prospective customers • Provide mentorship and development for account executives • Create technical scoping documents and liaise with Project Manager/Implementation teams • Rapidly generate analyses such as ROIs, cashflows, and breakeven analyses • Coordinate completion of RFP / RFQs