Forward Deployed Engineer - Applied AI - Senior Manager - Financial Services - Consulting
Tasks
- Define AI system design principles
- Define API and integration strategies for AI platforms
- Develop reference architectures and engineering standards
- Drive engineering standards and design reviews
- Ensure observability resilience security and responsible AI
- Ensure scalable secure reusable technical designs
- Establish orchestration models and data contracts
- Implement evaluation benchmarking and experimentation approaches
- Lead AI ML architecture for complex initiatives
- Lead large complex project delivery outcomes
- Mentor senior engineers and technical leads
- Own end to end AI platform architecture
- Provide hands on guidance for architecture and coding
- Use AI assisted software engineering tools
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | API Management | API strategy | AWS API | AWS API Gateway | AWS Bedrock | AWS Macie | Agent Orchestration | Agentic AI | Arize | Artificial Intelligence | Autogen | Azure API | Azure API Management | Azure ML | Azure Monitor | Azure OpenAI | Azure Purview | Benchmarking | Containerization | CrewAI | Datadog | DeepEval | Docker | Experimentation | GRPC | Generative AI | GitHub Actions | Google Vertex | Google Vertex AI | Hugging Face | Kubeflow | Kubernetes | LLM-Ops | Langchain | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | Llamaindex | MLflow | Machine Learning | Microsoft Presidio | Model Evaluation | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | Nvidia Nim | Observability | Python | REST | Ragas | Resilience Engineering | Responsible AI | Retrieval-Augmented Generation | Security | Semantic Kernel | Vertex AI | Weights and Biases
Education
N/A
Roles
AI | AI Architect | AI Engineer | Applied AI Engineer | Architect | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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