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Executive Python Ai Jobs in Maryland (NOW HIRING)

Strong foundation in Python, Java/C++, API design (REST/gRPC), and microservices architecture. 2. ... executive-ready strategy documents and presentations. · Pragmatic balance between technical ...

... executive-level clients to shape strategic directions and deliver impactful solutions - Utilizing programming languages such as Python and C++ to develop and deploy AI models - Managing complex data ...

Python * Jupyter notebooks * Scientific computing libraries * Machine learning / AI evaluation ... Comfortable with Technical Writing, Decision-Support Documentation, Executive Reporting, Jira ...

$120K - $165K/yr

This position offers high visibility across executive stakeholders and the opportunity to define ... such as Python or JavaScript * Proven experience delivering solutions from concept through ...

Sr AI/ML Engineer

Hagerstown, MD

$103K - $142K/yr

... spanning executive management, finance and accounting, operations, human resources, legal ... Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in ...

Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... experience with Python, Structured Query Language, REST APIs, and cloud-native architecture ...

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Executive Python Ai information

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Posted 9 days ago


Job description

Technical Competencies

· GenAI Stack & Frameworks: Deep hands-on experience with LLM orchestration (LangChain, LlamaIndex, AutoGen), RAG architectures, fine-tuning techniques (LoRA/PEFT), vector search (Pinecone, Qdrant, Milvus, pgvector), and Agentic tool-use protocols (MCP).
· Cloud & Infrastructure: Advanced architecture experience on AWS (Amazon Bedrock, SageMaker, OpenSearch, ECS/EKS, Lambda).
· Enterprise Data & Analytics: Hands-on integration experience with enterprise data platforms such as Snowflake, Databricks, Apache Spark, and real-time streaming architectures.
· Core Engineering: Strong foundation in Python, Java/C++, API design (REST/gRPC), and microservices architecture.
2. Experience & Qualifications
· Total Experience: 12+ years in Enterprise Software Engineering & Architecture, with 4+ years dedicated to AI/ML and 2+ years designing LLM/GenAI production systems.
· Domain Experience: Prior experience in Financial Services, Asset Management, Investment Banking, or Fintech is highly preferred.
· Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related engineering discipline.
· Certifications (Preferred): AWS Certified Solutions Architect (Professional), AWS Certified Machine Learning – Specialty, or TOGAF certification.
3. Soft Skills & Leadership
· Exceptional ability to translate complex AI technicalities into clear, executive-ready strategy documents and presentations.
· Pragmatic balance between technical innovation, cost optimization (token/compute economics), and strict regulatory controls.