Key Responsibilities:

• You'll create an AI strategy and vision for large clients / business units.
• You'll architect and implement agentic AI systems integrating LLMs, planning modules, memory, and tool-use capabilities.

• You'll design and deploy multi-agent orchestration frameworks for enterprise use cases (e.g., customer service, operations, R&D).

• You'll build and manage cloud-native AI pipelines using both AWS and Azure AI services.

• You'll collaborate with cross-functional teams to translate business needs into AI-driven cloud solutions.

• You'll define and enforce AI governance, safety, and ethical standards in system design.

• You'll evaluate and integrate open-source and proprietary AI tools, including vector databases, orchestration frameworks (e.g., LangGraph, CrewAI), and cloud-native AI platforms.

• You'll lead proof-of-concept (PoC) initiatives and scale successful prototypes into production-ready systems.

• You'll stay ahead of emerging trends in agentic AI, autonomous systems, and cognitive architectures.

Required Skills & Experience:

• 7+ years of experience in AI/ML systems architecture, with at least 2 years in agentic or autonomous AI.

• Deep understanding of LLMs, prompt engineering, vector search, and tool augmentation.

• Hands-on experience with cloud AI services, including.
  • Azure AI Stack
    • Azure OpenAI Service
    • Azure ML Studio
    • Cognitive Services
    • Azure Functions
    • AKS
  • AWS AI Stack
    • Amazon SageMaker
    • Bedrock
    • Lambda
    • Step Functions
    • ECS/EKS, DynamoDB
• Expertise in Databricks (on Azure) for large-scale data engineering and transformation workflows, including the use of PySpark, Scala, Delta Lake, and MLflow. Familiarity with Notebook-based collaboration and version-controlled data pipelines.

• Worked with Structured, semi-structured (JSON, Parquet), and unstructured data

• Familiarity with orchestration frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel

• Strong programming skills in Python,Scala, Kafka and experience with containerization (Docker, Kubernetes).

• Experience with multi-agent simulations, reinforcement learning, or cognitive architectures.

• Knowledge of AI observability, monitoring, and MLOps best practices.

• Familiarity with AI safety, interpretability, and alignment principles.

• Contributions to open-source AI projects or publications in AI conferences.

• Understanding data engineering pipelines and real-time data streaming (e.g., Kafka, Kinesis).

• Strong knowledge of data modeling, data governance, and data security principles.

• Experience in data privacy regulations (e.g., GDPR, HIPAA) in multi-country data environments.

• Proficiency in SQL (T-SQL or SparkSQL) for developing complex queries, views, stored procedures, and optimization. Solid experience in Python, especially data manipulation libraries like pandas, numpy, and integration with PySpark.

• Good understanding of REST APIs and experience with building/consuming APIs for data exchange. Familiarity with OAuth2.0, token-based authentication, and secure API practices in cloud environments.
• Minimum Bachelor's degree in computer science, Information Systems, or related field.

Nice To Have:

• Any AI/ML certification.

• Prior experience with working in Azure data factory environment.

• Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert).

• Working experience with stored procedures in SQL server & oracle,

• Any prior working experience with any ETL tool like Informatica , Datastage , Ab Initio, Talend , SSIS etc.

This position is remote with potentially some travel. You will be reporting to the SVP, Delivery Leader for Data and Analytics platforms.

The annual salary range for this position is $113,000 - $182,850. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.

#LI-remote #LI-JH2