AI Solutions Architect III

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented to join our team. If you're excited to be part of a winning team, CirrusLabs () is a great place to grow your career.

We are currently seeking an experienced and hands-on AI Solutions Architect III. Responsible for designing and implementing enterprise-level AI solutions, with a strong emphasis on generative AI, agentic AI, and ML-driven systems to address line-of-business (LOB) use cases. This role involves architecting scalable, innovative solutions that leverage generative models (e.g., LLMs, diffusion models), autonomous agentic systems, and ML algorithms to drive business value, enhance customer experiences, and optimize processes. The AI Solution Architect collaborates with cross-functional teams and stakeholders to deliver AI/ML-driven solutions tailored to specific LOB needs, such as sales marketing, customer service, finance, and operations.
ESSENTIAL JOB FUNCTIONS:

• 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, AutoGen)
• 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.

Who we are looking for
EDUCATION & EXPERIENCE:

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence. A master's degree or PhD in AI, ML, or a related discipline is preferred.
• 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

What we offer
Provided they meet all eligibility requirement under the applicable plan documents, employees will be offered 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, and tuition reimbursement. Employees also will be able to enroll in our company's 401k plan. Relocation assistance offered for candidates relocating more than 50 miles for this position.

Employees will receive 15 days of paid time off (PTO) per year. Employees will enjoy 11 paid holidays throughout the calendar year and 5 paid days of sick leave. Up to six weeks of paid parental leave will be available for use after successful completion of 90-days of full-time employment. Eligibility requirements for these benefits will be controlled by applicable plan documents.
This is intended to provide a general description of benefits and other compensation and is not a substitute for applicable plan documents or company policies.