Senior Consultant - AI

Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, Meridian Softworks might just be for you! At Meridian Softworks , we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living Meridian Softworks ’s core values because they know that it will result in amazing experiences and solutions for our clients and each other. As a Senior Consultant, you support architecture and delivery efforts across modernization and transformation programs. You apply strong technical expertise, collaborate with cross-functional teams, and ensure high‑quality execution of solution designs. At this level, you operate with increasing autonomy while contributing to delivery excellence, reusable frameworks, and client value. Responsibilities: • Support solution architecture across modernization projects, ensuring alignment with technical standards and business goals. • Translate high‑level architecture guidance into actionable delivery tasks and implementation plans. • Work across App Innovation, Cloud Platform, and Data & AI teams to integrate components into cohesive solutions. • Execute delivery frameworks, code standards, and reusable patterns that strengthen project consistency. • Conduct design reviews, technical validation, and quality checks within delivery teams. • Collaborate with architects, project managers, and client stakeholders to drive successful outcomes. • Mentor junior consultants and engineers, promoting technical development and delivery best practices. • Troubleshoot and resolve delivery challenges, including integration, performance, and scalability issues. • Apply current Azure technologies and Microsoft frameworks to optimize solutions for maintainability, performance, and cost efficiency. • Participate in presales activities by contributing technical estimates, delivery plans, and solution insights. • Manage workload and commitments to meet utilization goals while maintaining architectural quality across engagements. • Invests in internal thought leadership, culture of feedback, knowledge-sharing, and/or Intellectual Property development opportunities, including communities of practice and internal initiatives. Requirements: • Bachelor’s degree in Computer Science, Information Technology, or related field preferred (or equivalent experience). • 2-5 years of relevant consulting or engineering experience with Azure delivery. • 2-5 years of relevant experience with demonstrated ability to contribute independently across most areas of AI solution delivery. • Proficiency across most of the following areas: • Agents & Orchestration – leveraging Semantic Kernel, LangChain, or similar frameworks to design intelligent workflows; applying tool/function calling, planner and agent-based patterns, and workflow automation engines. • Search & Retrieval – implementing solutions with vector databases such as Azure AI Search, Pinecone, FAISS, or Milvus; applying hybrid search methods, re-ranking strategies, and selecting embedding models for accuracy and performance. • Evaluation, Quality & LLM Operations – establishing offline and online evaluation approaches; using golden datasets, hallucination and groundedness validation, toxicity and safety testing; Meridian Softworks · 3025 Highland Parkway · Suite 525 · Downers Grove, IL 60515 · (888) 88-AZURE · www.3cloudsolutions.com building telemetry and feedback loops; managing monitoring, deployment pipelines, and ongoing optimization of large language models. • Responsible AI, Security & Privacy – incorporating practices such as threat modeling, privacy reviews, data minimization, safety guardrails, policy enforcement, auditability, and model risk management in line with GDPR and organizational standards. • AI Platforms & Data Foundations – applying hands-on experience with Azure AI services, Databricks, Azure OpenAI, and related modern data platforms. • Cloud Engineering – designing with APIs, containers, microservices, and DevOps pipelines to deliver scalable, cloud-native solutions. • Data Integration & Governance – developing and managing data pipelines; applying quality controls, metadata practices, and master data management approaches. • Analytics & Visualization – delivering insights with Power BI and other visualization tools. • Proficiency with modern development tools (e.g., GitHub Copilot, Cursor). • Demonstrated ability to implement technical designs and support delivery across modernization programs. • Strong technical foundation in one Azure domain (Application I