About the role
The client is a global consulting, technology, and digital firm specializing in the financial services industry. Established in 2001, the company provides innovative solutions to help clients navigate digital transformation, enhance operational efficiency, and achieve strategic objectives. With a focus on banking, capital markets, and insurance, it leverages cutting-edge technologies such as blockchain, artificial intelligence, and data science to deliver customized IT solutions and business consulting services.
The company's commitment to innovation, combined with its industry expertise, positions it as a leader in driving technological advancements and helping financial institutions stay competitive in a rapidly evolving market.
Salary Range: $220K-$240K/Annum
Job Description:
- We are seeking an experienced Enterprise Architect – Generative AI to lead the design and implementation of enterprise-scale AI solutions across complex business environments.
- The ideal candidate will drive GenAI architecture strategy, define AI governance standards, and build secure, scalable, and compliant AI platforms leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and cloud-native AI services.
- This role requires strong expertise in enterprise architecture, AI/ML ecosystems, cloud platforms, security, and regulatory compliance.
- The candidate will collaborate with business stakeholders, engineering teams, risk, legal, and compliance groups to deliver innovative AI-driven solutions aligned with organizational standards and governance frameworks.
- Lead enterprise-wide Generative AI architecture strategy and roadmap initiatives.
- Design and implement scalable AI solutions using LLMs, RAG frameworks, vector databases, and AI orchestration platforms.
- Define architecture standards, security controls, governance policies, and responsible AI practices.
- Partner with business leaders and technical teams to identify AI use cases and translate them into enterprise solutions.
- Architect cloud-native AI platforms using AWS, Azure, or GCP services.
- Develop secure AI integration patterns with enterprise applications, APIs, and data platforms.
- Collaborate with cybersecurity, legal, risk, and compliance teams to ensure regulatory adherence and data privacy standards.
- Evaluate emerging AI technologies, frameworks, and tooling for enterprise adoption.
- Provide technical leadership, architecture guidance, and mentorship to engineering and solution teams.
- Support AI model lifecycle management, monitoring, observability, and performance optimization.
- Drive AI platform scalability, reliability, and operational excellence across enterprise environments.
- 12 years of experience in Enterprise Architecture, Solution Architecture, or AI Platform Engineering.
- Strong experience with Generative AI technologies, including LLMs, prompt engineering, RAG pipelines, and vector databases.
- Hands-on experience with AI frameworks such as LangChain, Semantic Kernel, LlamaIndex, Hugging Face, or OpenAI ecosystems.
- Expertise in cloud platforms including AWS, Azure, or Google Cloud Platform.
- Experience designing microservices and API-driven architectures using modern development frameworks.
- Strong understanding of AI security, governance, compliance, and responsible AI principles.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Knowledge of data engineering, enterprise integration patterns, and distributed systems.
- Strong stakeholder management, communication, and leadership skills.
- Experience working in regulated enterprise environments is highly preferred.
- Experience implementing AI governance and model risk management frameworks.
- Exposure to MLOps, AI observability, and model monitoring tools.
- Familiarity with enterprise data platforms, data lakes, and vector search technologies.
- Relevant cloud or AI certifications preferred.
- Generative AI, LLMs, RAG, LangChain, OpenAI, Azure OpenAI, Hugging Face, Vector Databases, Pinecone, Weaviate, Semantic Kernel, Kubernetes, Docker, Python, Java, REST APIs, AWS, Azure, GCP, CI/CD, MLOps.
About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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