Lead Enterprise AI Architect
Andersen is hiring aLead Enterprise AI Architect for a project defining enterprise AI strategy, scalable architecture, and digital transformation for a healthcare organization.
The customer is a global consulting and advisory firm that helps organizations improve business performance, navigate complex operational challenges, and support strategic transformation. It provides expertise across business strategy, operational improvement, risk management, and organizational change, working with clients from multiple industries through data-driven insights and multidisciplinary consulting services.
The project is focused on defining the enterprise AI architecture and transformation strategy for a large-scale healthcare organization. It includes developing a future-state technical vision, establishing architectural standards, and creating a scalable implementation roadmap to enable secure, enterprise-wide AI adoption.
Responsibilities:
- Leading the development of enterprise AI architecture and future-state technical vision.
- Assessing the client's current technology landscape and identifying opportunities to enable enterprise AI capabilities.
- Developing reference architectures supporting generative AI, intelligent automation, enterprise search, document intelligence, and decision support.
- Defining scalable architectural patterns leveraging Microsoft Azure, Azure OpenAI, Retrieval Augmented Generation (RAG), and modern AI technologies.
- Developing solution architectures that align business objectives with technical capabilities.
- Defining implementation of sequencing, technical dependencies, and architectural decision points across multiple workstreams.
- Evaluating technology platforms and providing recommendations supporting future implementation.
- Producing architecture documentation, technical standards, and implementation of roadmaps.
- Presenting architectural recommendations to executive leadership and steering committees.
- Facilitating architecture workshops with business and technical stakeholders.
- Translating complex technical concepts into business-focused recommendations.
- Supporting executive decision-making through technology assessments and option analysis.
- Defining enterprise AI governance principles, including responsible AI, security, compliance, privacy, and model lifecycle considerations.
- Establishing architectural standards and reusable design patterns.
- Recommending governance processes that enable scalable AI adoption within a regulated healthcare environment.
- Partnering with Data Architects, Platform Architects, business leaders, and client stakeholders throughout the engagement.
- Supporting the development of integrated recommendations across technology, data, governance, and operating model workstreams.
- Mentoring project teams and providing architectural leadership throughout the engagement lifecycle.
Must-haves:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience.
- Enterprise solution architecture experience for 10+ years.
- Experience developing enterprise AI or machine learning architectures for 5+ years.
- Extensive experience with Microsoft Azure cloud architecture.
- Hands-on experience with Azure OpenAI Service and OpenAI APIs.
- Deep understanding of Retrieval-Augmented Generation (RAG) architectures.
- Experience developing enterprise AI governance frameworks.
- Strong executive communication and presentation skills.
- Experience advising healthcare organizations or other highly regulated industries.
- Demonstrated success leading enterprise architecture initiatives within consulting or professional services environments.
- Level of English - from Upper-Intermediate+ and above.
Nice-to-haves:
- Experience with Epic and Microsoft Fabric.
- Experience with LangGraph, Model Context Protocol (MCP), or other agentic AI frameworks.
- Knowledge of healthcare interoperability standards, including FHIR and HL7.
Reasons why this job would be interesting to you:
- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
- The opportunity to change the project and/or develop expertise in an interesting business domain.
- Job conditions - you can work both fully remotely and from the office or can choose a hybrid variant.
- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
- The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
- Certification compensation (AWS, PMP, etc).
- Referral program.
- Private health insurance and compensation for sports activities.
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