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Fully-licensed Clinical Social Worker at a Master's level or above with LCSW, LICSW, or LCSCW licensure (accepted on a state by state basis)
A valid NPI number
License must be fully licensed (Headway can't support mental health professionals that aren't fully licensed)
Malpractice insurance

SmartExplore AI is experimental.

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Boatswain’s Mate

US Navy

Jena, LA 71342

Education AssistanceHealth InsuranceRetirement Benefit

AI Solution Architect

CLECO CORPORATE HOLDINGS LLC

Pineville, LA 71360

~ 47 min Onsite

Strong working knowledge of ModelOps, AI engineering, DevOps, and MLOps practices, including CI/CD pipelines, monitoring, and production support models
A bachelor's degree in computer engineering, computer science, software engineering, artificial intelligence, mathematics, or a related quantitative or natural science discipline is required
Proven experience working with large language models and foundation models, including designing architectures optimized for cost efficiency, scalability, and operational performance
A master's degree or Ph.D. is highly preferred
Skilled in selecting and architecting AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), cloud platforms (Azure, AWS), and orchestration technologies (Docker, Kubernetes) for scalable enterprise AI deployments
Or a minimum of five years of experience building and operating production-grade AI/ML systems, including principal-level ownership of MLOps pipelines, model deployment, monitoring, and cloud-native platform architecture in distributed enterprise environments
Strong documentation skills with the ability to produce diagrams, demos and technical artifacts that make AI architectures comprehensible and actionable
A minimum of three years experience building and operating production-grade AI/ML systems, including principal-level ownership of MLOps pipelines, model deployment, monitoring, and cloud-native platform architecture in distributed enterprise environments
Advanced understanding of enterprise integration architectures, APIs, data pipelines, and event-driven systems
Excellent written and verbal communication skills, with the ability to explain complex AI architectures and trade-offs to technical and non-technical stakeholders
Ability to apply AI system testing and validation techniques (e.g., pairwise testing, A/B testing, back-to-back testing) across operating systems and deployment environments
Experience architecting AI solutions incorporating advanced techniques such as natural language processing (NLP), vector databases, knowledge graphs, and retrieval-augmented generation (RAG) architectures

SmartExplore AI is experimental.