Job Title : Sr. Python/AI Software Engineer
Location: Phoenix, AZ - Hybrid Model 3 days/week
Experience: 8+ years of Experience
In-Person Interview in Phoenix, AZ at AMEX facility strictly required.
Senior Engineer – Artificial Intelligence to help design and build impactful, intelligent, and secure AI solutions for Information Security & Governance and Control. We are seeking a technically strong AI professional with hands-on experience in Machine Learning, Agentic AI, Generative AI, and AI system development—someone who can translate business needs into scalable, production-ready AI applications and contribute to solutions that drive meaningful outcomes.
Key Responsibilities
- Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks.
- Translate business, Information Security, Governance, and Technology Risk requirements into scalable AI applications.
- Develop, test, and improve models for NLP, classification, clustering, anomaly detection, and predictive analytics.
- Support model lifecycle activities including experimentation, evaluation, versioning, deployment, monitoring, and documentation.
- Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, Kubernetes, and related tools.
- Collaborate with Security, Risk, Engineering, Governance, and Data teams to deliver secure, reliable, and responsible AI solutions.
- Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, MLOps, and responsible AI.
Hands-on experience or working knowledge of the following tools, frameworks, and technologies:
- Languages: Python
- Frameworks & Libraries: Flask, FastAPI, TensorFlow, PyTorch, scikit-learn
- AI & GenAI: LangChain, Hugging Face, AutoGen
- MLOps & Orchestration: Kubeflow, Argo Workflows, MLflow, Triton Inference Server
- Data Platforms: Kafka, Spark, NiFi, SQL/NoSQL, pgVector, Milvus
- Cloud & Containers: AWS, Azure, Google Cloud Platform, Kubernetes, Docker
- Observability: Prometheus, Elasticsearch, Kibana
- CI/CD: Jenkins, GitLab CI, XL Release
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or a related field.
- 8+ years of experience designing and implementing large scale engineering solutions and AI/ML systems.
- Hands-on experience developing AI/ML, GenAI, or data-driven applications.
- Strong Python programming skills and familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, or similar tools.
- Working knowledge of LLMs, NLP, embeddings, RAG, prompt engineering, and AI application development.
- Experience with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar tools.
- Exposure to APIs, cloud platforms, Docker, Kubernetes, vector databases, and software engineering best practices.
- Ability to understand business needs, solve technical problems, and collaborate effectively across teams.
- Exposure to MLOps/data tools such as MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi.
If your skills and experience align with this opportunity, please reply with the following details:
- Full Name:
- Contact Number:
- Current Location:
- Work Authorization/visa status:
- LinkedIn URL:
- Willing to relocate :
- Willing to work on W2:
- Expected Hourly Rate (W2):
- Updated Resume:
I look forward to hearing from you.
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