RSM - AI Solution Architect - CATT Tech Delivery

Description: We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. Youll find an environment that inspires and empowers you to thrive both personally and professionally. Theres no one like you and thats why theres nowhere like RSM.

Applied AI Solutions Architect:

Job Overview: The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver innovative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG).

Responsibilities:

- Solution Design: Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance.

- Technology Selection: Evaluate and select appropriate AI frameworks, tools, and cloud services (e.g., AWS SageMaker, Azure AI, Google Cloud AI) based on project requirements.

- Generative AI Implementation: Design solutions using large language models (LLMs) and RAG architectures for applications like content generation, customer engagement, or product design.

- Collaboration: Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor.

- Governance and Ethics: Implement responsible AI practices, addressing bias, security, and compliance in AI systems.

- MLOps and AIOps: Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions.

- Thought Leadership: Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders.

- Performance Optimization: Ensure AI solutions meet latency, cost, and quality requirements, optimizing for production environments.

Certifications:

- AWS Certified Machine Learning Specialty

- Microsoft Azure AI Engineer Associate

- Google Cloud Professional Machine Learning Engineer

- Coursera or Edureka AI/ML certifications (e.g., DeepLearning.AIs Generative AI Specialization)

- ITIL or TOGAF for enterprise architecture alignment (optional)

Qualifications:

- Bachelors or Masters degree in Computer Science, Data Science, or a related field.

- 8+ years of experience in ML engineering, data science, or software architecture, with 3+ years in AI/ML solution design.

- Proven track record of deploying AI solutions in production environments

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance lifes demands, while also maintaining your ability to serve clients.

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