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Asst Vice President -- Strategic Accounts at MethodHub
Job Title - AI Architect
Location : Any Location (Dallas, TX/Atlanta, GA/NY/NJ, Chicago, IL)
Duration: Fulltime with Client
AI System Development & Integration
- Design, develop and implement AI driven solutions (Analytics, ML, NLP, computer vision, Gen AI, Agents etc.) within an organizational context.
- Develop secure, scalable AI applications using cloud services (AWS, Azure, GCP), big data tools (Databricks, PySpark), and CI/CD pipelines.
- Build and orchestrate agentic workflows using frameworks like LangChain, Crew AI, and Semantic Kernel.
- Lead deployment and monitoring of AI models in production with support from DevOps and IT.
Architecture, Delivery & Innovation Leadership
- Architect custom AI solutions using modern AI tooling, APIs, data infrastructure, and runtime components.
- Lead cross-functional teams in aligning AI solutions with business goals and client needs.
- Drive innovation through research, integration of emerging AI techniques, and development of private GenAI tools.
- Serve as a technical and strategic advisor to clients and internal leaders.
- Develop and lead AI service offerings within industry sectors, partnering with market unit leaders.
- Experience in leading large scale and complex data analytics, AI engagements
- Lead pitches, demos, and proposals for Analytics, ML, GenAI, and Agentic AI initiatives.
- Act as a thought leader, staying ahead of trends and evangelizing advanced AI capabilities.
Required Skills & Experience
- 15+ years of experience in AI, analytics, and enterprise software engineering.
- A master’s degree in a STEM oriented field like Science, Technology, Engineering, and Mathematics fields, or a field that has a strong analytical component.
- Proven leadership in developing and scaling Agentic systems, GenAI models, and Machine Learning services.
- Expertise in Python and SQL and libraries like Scikit Learn, LangChain, and modern agentic frameworks.
- Deep knowledge of cloud platforms (AWS, Azure, GCP), data engineering, and deployment tools (Docker, DevOps, Kubernetes).
- Experience in client-facing roles, thought leadership, and building scalable analytics practices.
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Information TechnologyIndustries
IT Services and IT Consulting
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