Associate Director, Planning

Digitas; Oregon; On-site; USD 110,000 - 150,000; Full time

Job summary

Digitas seeks an experienced AI/ML architect to design and implement agent-based AI solutions in partnership with IT and business teams. You will lead the end-to-end development of ML models, pipelines, and orchestrations, and ensure seamless deployment across data platforms.

The role emphasizes cutting-edge generative AI, RAG architectures, and scalable MLOps, with close collaboration across data science, engineering, and product teams.

Qualifications

• Proven experience with Python and Java in AI/ML projects.
• Hands-on with agentic AI tools and LangChain-based workflows.
• Experience integrating tools and APIs (MCP, Gemini, LangChain).

Responsibilities

• Meet with IT and Business teams to understand requirements and opportunities.
• Architect systems for AI/ML, agent-based AI workflows.
• Lead the design and development of AI/ML, MLOps & Agentic AI solutions.

Skills

Python

Java

Agentic AI frameworks

Tool integration

TensorFlow/PyTorch

Generative AI/NLP/RAG

Cloud platforms (GCP Vertex AI Kubeflo

Data engineering/feature engineering

GitHub

RAG architecture/hybrid search

GPU programming (optional)

Tools

GitHub

Kubeflow

LangChain

OpenAI SDK

Google ADK

Vertex AI

TensorFlow

PyTorch

Job description

Must-Have Technical/Functional Skills

• Programming Languages: Python, Java
• Agentic AI : Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Tool Integration: Gemini Tools, Custom MCP tools
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML.
• Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).
• Cloud Platforms: Google Cloud Platform (GCP), Vertex AI and Kubeflow
• Data Engineering: Proficiency in data preprocessing and feature engineering.
• Version Control: Experience with GitHub for version control.
• Data Science Practices: Skills in building models, testing/validation, and deployment.
• Databases: DB2, Oracle, BigQuery, BigData, Cassandra, PostGRES
• Collaboration: Experience working in an Agile framework.
• RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
• Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT.

Functional Skills

• Experience working with customers in Retail Domain.
• Knowledge in Retail Pricing functionalities is a plus.

Roles & Responsibilities

• Meet with IT and Business teams to understand the requirements and opportunities
• Architect systems for AI/ML, agent-based AI workflows.
• Lead the design and development of AI/ML, MLOps & Agentic AI solutions
• Develop and optimize ML models, pipelines, and orchestration logic
• Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems
• Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure seamless integration and deployment of solutions
• Drive technical strategy, tooling, and infrastructure decisions.
• Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives.
• Identifies areas for process improvement.
• Maintains appropriate communication within the team and across various teams (i.e., internal and external).