CATT Tech Delivery - AI Solution Architect

IND-TG-Hyderabad-Equinox Tower 1 No. 53 Paiki, India

RSM

RSM US LLP is the leading U.S. provider of assurance, tax and consulting services focused on the middle market.

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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. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s 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. 

Skill Set 

  • Technical Skills: 
    • Proficiency in Python, R, or Julia for AI/ML development. 
    • Expertise in ML frameworks like TensorFlow, PyTorch, Hugging Face, or Scikit-learn. 
    • Experience with cloud platforms (AWS, Azure, Google Cloud) and AI services like Amazon Bedrock or Azure AI Foundry. 
    • Knowledge of MLOps tools (e.g., Kubeflow, MLflow) and CI/CD pipelines. 
    • Familiarity with generative AI techniques, including prompt engineering, fine-tuning, and RAG. 
    • Understanding of data engineering concepts, including ETL processes and data lakes. 
  • Soft Skills: 
    • Strong communication to bridge technical and business teams. 
    • Analytical thinking for evaluating trade-offs and designing optimal solutions. 
    • Leadership and mentorship to guide cross-functional teams. 
  • Domain Knowledge: 
    • Experience in industries like healthcare, finance, or technology, with an understanding of relevant use cases (e.g., drug discovery, personalized marketing). 

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.AI’s Generative AI Specialization) 
  • ITIL or TOGAF for enterprise architecture alignment (optional) 

Qualifications 

  • Bachelor’s or Master’s 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 life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html.  

RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation.  

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AIOps Architecture AWS Azure CI/CD Computer Science Drug discovery Engineering ETL Finance GCP Generative AI Google Cloud ITIL Julia Kubeflow LLMs Machine Learning MLFlow MLOps Model training Pipelines Prompt engineering Python PyTorch R RAG Responsible AI SageMaker Scikit-learn Security TensorFlow TOGAF

Perks/benefits: Career development Competitive pay Medical leave

Region: Asia/Pacific
Country: India

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