Senior Applied AI Engineer/Architect
About The Position
Responsible for serving as an experienced Architect technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. Own end-to-end delivery of production AI systems from research through deployment, guiding a team of engineers and influencing enterprise architecture decisions.
Requirements
- Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python; C# experience preferred.
- Two (2) + years’ experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
- Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to business solutions.
- Demonstrated success delivering at least one large-scale ML/AI application or service on a cloud platform (Azure, AWS, or GCP).
- Strong understanding of ML algorithms, deep learning architectures, data structures, and applied optimization techniques.
- Familiarity with MLOps practices and tools (Docker, Kubernetes, MLflow, etc.) for scalable AI/ML deployments.
- Ability to translate research and experimental AI approaches into practical, enterprise-grade solutions.
- Excellent analytical, problem-solving, and communication skills, with the ability to influence stakeholders and drive alignment.
- Advanced degree (M.S. or Ph.D.) in AI, ML, Data Science, or a related field.
Nice To Haves
- Experience with transformers, edge AI, federated learning, or real-time inference systems.
- Track record of contributions to open-source AI projects, patents, or published research.
- LLM providers: OpenAI, Azure OpenAI, Anthropic, OSS (Llama, Mistral)
- Frameworks: LangChain, LlamaIndex, Semantic Kernel
- Vector DBs: Pinecone, FAISS, Weaviate
- Orchestration: Ray, Airflow
- Experience with LLM orchestration frameworks (LangChain, Semantic Kernel) and vector databases (Pinecone, FAISS, etc.)
Responsibilities
- Serve as an experienced Architect technical leader driving the design, development, and deployment of advanced AI solutions.
- Address complex business challenges with AI solutions.
- Provide deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics.
- Set strategic direction for AI initiatives.
- Establish best practices for AI development and deployment.
- Influence cross-functional teams to maximize the impact of AI initiatives.
- Own end-to-end delivery of production AI systems from research through deployment.
- Guide a team of engineers.
- Influence enterprise architecture decisions.
Benefits
- Medical/Dental/Vision
- Wellness program to support both mental and physical health
- Generous paid time off for both exempt and non-exempt positions
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
