Description
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity - are why our people love working at A&M.
The Team
Our DTS team covers the full breadth of Technology Consulting and M&A services, including -
- Technology M&A and Strategy - Assist clients to manage the technology aspects and business enablement of complex M&A, integrations and carve-outs as well as post-deal value creation
- Technology Consulting – End to end technology advisory for clients, including developing technology roadmaps, platform/cloud/data advisory as well as transformation excellence for a digital transformation
- Data & AI services - Helping clients in harnessing the power of data and cutting-edge analytics to drive intelligent decision-making and transform businesses
- Develop GenAI and Agentic AI solutions that create real business value for clients through process re-invention
The Role
- This role serves as the single-threaded technical owner for enterprise-scale AI and Generative AI solutions. The GenAI & Data Solution Architect is responsible for defining, designing, and governing end-to-end AI systems - from data ingestion and model orchestration to user experience and production deployment.
- The role requires deep hands-on expertise in Generative AI, LLMs, RAG, agentic architectures, and cloud-native AI platforms, combined with strong architectural judgment to balance innovation, scalability, security, and cost.
- We are seeking an innovator with deep expertise in Generative AI, large language models (LLMs), and cloud-based AI platforms (Azure, AWS, or GCP). The candidate should be comfortable working in a fast-paced, dynamic consulting environment, leading teams, experienced in building end-to-end AI strategy and roadmaps, ensuring customer success to scale enterprise-wide AI programs
How you will contribute
1. AI & Data Architecture
- Own end-to-end AI and data architecture, including ingestion, feature engineering, model layers, orchestration, APIs, and UI integration
- Define reference architectures for GenAI, predictive ML, and hybrid AI systems
- Ensure alignment with enterprise platforms such as ERP, CMMS, Data Lakes, and IAM
- Design and govern AI operating models (MLOps / LLMOps), standardizing model development, deployment, monitoring, and iteration
- Establish CI/CD pipelines, monitoring, and retraining workflows using tools such as Azure DevOps, GitHub Actions, or AWS CodePipeline
- Build production-grade AI microservices and APIs using Python, Flask, FastAPI, Docker, and Kubernetes
- Continuously optimize AI systems for performance, scalability, reliability, and operational efficiency
- Lead Responsible AI initiatives addressing ethics, bias, privacy, transparency, and regulatory compliance (e.g., EU AI Act)
- Communicate complex AI concepts effectively to both technical and non-technical stakeholders
2. Generative AI Strategy & Agentic Systems
- Architect and govern scalable, modular AI agent frameworks for enterprise reuse
- Define event-driven orchestration and agentic execution patterns (e.g., LangGraph, Temporal, reflection-based workflows
- Drive integration across GenAI platforms and internal frameworks to ensure consistency in observability, security, and governance
- Develop reusable agent templates, blueprints, and context frameworks to accelerate onboarding of new use cases
- Standardize GenAI design patterns including RAG, agentic workflows, tool calling, and memory/context management
- Lead technical planning across delivery sprints, vendor integrations, and GenAI product releases
- Design and build production-aligned PoCs and MVPs, ensuring smooth evolution into scalable enterprise solutions
- Evaluate feasibility across business value, data readiness, performance, and cost
- Decide optimal use of LLMs versus classical ML or deterministic logic based on use case requirements
3. Model Lifecycle, Quality, Cost & Risk Management
- Optimize retrieval strategies, chunking, embeddings, grounding, and caching
- Reduce hallucinations, latency, and token costs
- Define evaluation frameworks covering accuracy, relevance, bias, explainability, and robustness
- Establish prompt versioning, model versioning, retraining cadence, drift detection, and traceability across the AI lifecycle
4. Governance & Release Authority
- Define non-functional requirements including SLAs, reliability, scalability, and cost controls
- Act as the final technical authority for architecture decisions and production releases
Qualifications
- 12+ years of experience in AI/ML and data platforms, with deep focus on enterprise GenAI and LLM-based system
- Advanced degree (Master’s or Ph.D.) in AI, Data Science, Computer Science, or a related field
- Strong expertise in machine learning, deep learning, NLP, and generative models
- Hands-on experience with Python and frameworks such as PyTorch, TensorFlow, Hugging Face, scikit-learn, LangChain, and agent frameworks
- Experience building and deploying AI solutions on Azure, AWS, or GCP using services such as Azure ML, SageMaker, Vertex AI, and Kubernetes
- Strong understanding of MLOps / LLMOps, APIs, and cloud-native architectures
- Proven experience delivering AI-powered SaaS or internal platforms to automate workflows and enhance customer experience
- Strong business acumen with the ability to align AI strategy with enterprise goals
- Ability to engage senior stakeholders, lead cross-functional teams, and mentor AI engineers and data scientists
- Excellent problem-solving, communication, and leadership skills, with adaptability to the rapidly evolving AI landscape
Your journey at A&M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career. We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.