Agentic AI Architect

Qualifications

• 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
• 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 Lang Chain, Lang Graph, CrewAI, Auto Gen, 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
• 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 Spark
• SQL) 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 OAuth
• 2.0, token-based authentication, and secure API practices in cloud environments
• Minimum Bachelor's degree in computer science, Information Systems, or related field
• 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

Benefits

• The annual salary range for this position is Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law
• 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

Responsibilities

• This role is ideal for someone passionate about building scalable, secure, and human-aligned AI systems that can reason, plan, and act autonomously in complex environments
• 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., Lang Graph, 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
• Azure AI Stack
• Contributions to open-source AI projects or publications in AI conferences
• Understanding data engineering pipelines and real-time data streaming (e.g., Kafka, Kinesis)

Full Description

• Azure Functions

We are seeking a visionary Agentic AI Architect to lead the design and deployment of intelligent, autonomous systems that leverage the latest in generative AI, multi-agent frameworks, and cloud-native AI infrastructure.

This role is ideal for someone passionate about building scalable, secure, and human-aligned AI systems that can reason, plan, and act autonomously in complex environments.

Job Description:

Key Responsibilities:

• 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., Lang Graph, 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 Sage Maker

• 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 Lang Chain, Lang Graph, CrewAI, Auto Gen, 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 Spark

SQL) 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 OAuth

2.0, 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 will be 100% remote reporting to the SVP Delivery Leader for Data and Analytics Platform.

The annual salary range for this position is 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 .

#LI-remote #LI-JH2

Location:

USA - Remote - Ohio

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color , national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical…