Agentic FDE and Automation Consultant

Job Overview:

• Forward Deployment Engineers serve as essential contributors to the organization's transformation initiatives.
• These professionals collaborate directly with business stakeholders to identify opportunities, design innovative solutions, rapidly prototype, and implement production-grade automation and AI-powered workflows.
• This role integrates expertise in software engineering, automation engineering, AI deployment, and consulting to deliver comprehensive automation solutions.

Primary Responsibilities:

• Solution Development
• Transform operational challenges into effective automation strategies
• Construct automation workflows across diverse platforms
• Design and implement Agentic AI solutions
• Integrate automation with enterprise applications seamlessly
• Automation Framework Creation
• Develop automation frameworks primarily in Python
• Construct Ansible playbooks for configuration management
• Design workflows using Power Automate
• Create reusable automation components to enhance efficiency
• AI Agentic Development
• Build AI agents and corresponding workflows
• Develop integrations with various tools and systems
• Orchestrate complex AI workflows and validate AI performance
• Deployment and Operations
• Support continuous integration and continuous delivery (CI/CD) pipelines
• Deploy automation solutions into production environments
• Conduct thorough testing and User Acceptance Testing (UAT) support
• Monitor and manage production deployments effectively
• Client and Business Collaboration
• Engage directly with operations teams to understand needs
• Facilitate process discovery sessions
• Validate project requirements with stakeholders
• Assess and measure the impact of automation on business outcomes

Required Skills and Expertise:

• Automation tools and frameworks
• Python programming
• Power Automate platform
• Ansible configuration management
• REST API integration
• Shell scripting proficiency
• AI Agentic technologies
• Copilot Studio experience
• LangGraph familiarity
• Prompt Engineering expertise
• Large Language Model (LLM) APIs
• AI workflow automation development
• Software engineering principles
• Version control using Git
• CI/CD pipeline implementation and management
• Unit testing methodologies
• Agile development practices
• Cloud computing experience, especially AWS
• Serverless architecture design
• API Gateway configuration and management
• Strong consulting skills including business process analysis and problem solving
• Excellent communication and stakeholder engagement abilities

Technical Requirements:

• Proficiency in Python and automation frameworks
• Experience with Power Automate and Ansible
• REST API development and integration skills
• Shell scripting capabilities
• Expertise in AI Agentic platforms such as Copilot Studio and LangGraph
• Prompt Engineering and LLM API utilization
• AI workflow automation design
• Strong foundation in software engineering best practices
• Version control with Git
• Implementation of CI/CD pipelines
• Knowledge of unit testing procedures
• Experience with cloud services, particularly AWS and serverless architectures
• API Gateway setup and management
• Business process analysis and problem-solving expertise
• Effective communication and stakeholder collaboration skills

Additional Qualifications:

• Preferred candidates will have at least 9 years of experience in software development
• Prior experience in automation engineering
• Background in AI implementation projects
• Enterprise system integration experience is highly desirable

Desired Skills and Technologies:

• AI Agentic development and agent engineering
• AI Model deployment and data science expertise, particularly in Python
• Cloud technologies, especially Azure API Gateway