CirrusLabs ยท 4 months ago
AI Solutions Architect III
Alpharetta
Full-time
Onsite
Senior Level
5+ years expCirrusLabs is a digital transformation company focused on innovation and customer success. They are seeking an experienced AI Solutions Architect III responsible for designing and implementing enterprise-level AI solutions, particularly in generative AI and ML-driven systems, to enhance business value and customer experiences.
Information ServicesInformation TechnologySoftware
Responsibilities
Architect end-to-end AI and ML solutions, emphasizing generative AI (e.g., text, image, or code generation), agentic AI systems (e.g., autonomous agents for decision-making), and ML models (e.g., predictive analytics, classification) to address LOB use cases like personalized marketing, customer support automation, financial forecasting, and operational efficiency
Provide technical expertise to development teams, ensuring generative AI, agentic AI, and ML solutions are scalable, secure, and integrated with enterprise systems
Partner with LOB leaders, data scientists, and IT teams to identify high-impact use cases, define requirements, and translate business needs into robust AI/ML architectures
Evaluate and recommend AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain)
Design data pipelines to support generative AI, agentic AI, and ML models, ensuring high-quality data for training, fine-tuning, and inference in LOB contexts, such as customer data for personalization or transactional data for predictive analytics
Integrate AI/ML solutions with enterprise systems (e.g., Salesforce, SAP, or marketing platforms) to enable seamless LOB adoption and interoperability
Optimize generative AI models, agentic systems, and ML algorithms for performance, cost-efficiency, and accuracy in production, addressing LOB-specific KPIs like prediction accuracy, response time, or customer satisfaction
Establish governance frameworks for AI/ML solutions, ensuring compliance with regulations (e.g., GDPR, CCPA) and ethical standards, particularly for sensitive LOB applications like customer data handling or financial modeling
Stay abreast of advancements in generative AI (e.g., multimodal models), agentic AI (e.g., multi-agent systems), and ML techniques (e.g., ensemble methods, reinforcement learning), proposing innovative solutions to enhance LOB outcomes, such as automated content creation, intelligent process orchestration, or predictive maintenance
Mentor data scientists, developers, and architects in best practices for designing and deploying generative AI, agentic AI, and ML solutions for LOB use cases
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence
5+ years of experience in solution architecture, with at least 3 years focused on designing and deploying generative AI, agentic AI, and ML solutions in enterprise environments
Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain) and agentic AI platforms for LOB applications
Proven success in delivering AI/ML solutions for LOB use cases, such as automated customer service, content generation, predictive analytics
Expertise in generative AI techniques (e.g., LLMs, GANs, VAEs), agentic AI systems (e.g., autonomous agents, reinforcement learning), and ML algorithms (e.g., regression, clustering, decision trees)
Proficiency in programming languages such as Python, R, or Java, with experience in AI/ML libraries and frameworks
Strong knowledge of data engineering, including ETL pipelines, data lakes, and big data tools (e.g., Spark, Hadoop) for LOB data needs
Experience with MLOps for deploying and managing generative AI, agentic AI, and ML models in production
Familiarity with cloud platforms (Azure preferred) and enterprise systems integration (e.g., APIs, microservices)
Ability to align generative AI, agentic AI, and ML solutions with LOB objectives, such as increasing customer engagement, improving forecasting accuracy, or streamlining operations
Strategic thinking to identify high-value LOB use cases for AI/ML adoption
Proficiency in Agile and DevOps methodologies for rapid solution delivery
Deep understanding of enterprise architecture and AI/ML integration patterns for LOB systems
Commitment to ethical AI practices, particularly for generative AI outputs, agentic decision-making, and ML model fairness
Strong problem-solving and analytical skills tailored to LOB challenges
Excellent communication skills to articulate AI/ML benefits to non-technical LOB stakeholders
Dynamic personality, and you are confident in ambiguous situations
Fast learner and self-motivated to challenge status quo
Flexible to work with team from time zones as global role
Preferred
A master's degree or PhD in AI, ML, or a related discipline is preferred
Benefits
Medical
Dental
Vision
Flexible spending accounts
Supplemental medical plans
Basic life insurance
AD&D
Short term and long term disability
Optional life and AD&D
Optional spouse and dependent life insurance
Dependent life insurance
Flexible spend account
Health savings account
Identity theft monitoring
Pet insurance
Employee Assistance Program
Wellness program
Tuition reimbursement
401k plan
Paid time off (PTO)
Paid holidays
Paid days of sick leave
Paid parental leave
Relocation assistance
Company
CirrusLabs
CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT.
201-500 employees
H1B Sponsorship
CirrusLabs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (11)
2023 (13)
2022 (26)
2021 (5)
2020 (7)
Funding
Current Stage
Growth StageLeadership Team
Zia Rahman
Founder and CEO
Shiboo Varughese
CTO
Recent News
24-7 Press Release Newswire
2025-09-29
CirrusLabs Welcomes Nagaraj Padmanabhan as Chief Executive Officer of the Middle East and African Markets
2024-10-10
2023-06-05
Company data provided by crunchbase