Senior Consultant - Applied AI & Machine Learning

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; 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 Innovation, Cloud Platform, or Data & AI).
  • Experience collaborating across technical teams to deliver integrated, scalable solutions.
  • Recognized for strong delivery execution, technical ownership, and attention to detail.
  • Proven ability to mentor junior team members and contribute to delivery frameworks.
  • Excellent communication skills with the ability to articulate technical concepts to diverse audiences.
  • Exposure to hybrid or multi-cloud environments is a plus.

Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and 
authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly 
with every qualification in the job description, we encourage you to apply anyway.

At this time, we cannot sponsor applicants for work visas