The future is smarter than ever – and our team is built for it!

Job Location : Remote; Washington DC/Vienna VA

Position Overview
As a Lead Consultant at MindPetal, you will help our portfolio of government clients create innovate technology solutions that drive mission impact. In this role, you will work on collaborative, cross-functional teams to design, develop, and deploy automations using a variety of tools including UiPath, Python, AI/ML, and cloud-native technologies. You will also help MindPetal expand our technical and delivery capabilities by participating in internal AI Lab innovation projects and mentoring junior staff.

Position Requirements:

• Full-Stack Automation Development: Design, develop, and maintain automation solutions, using Python, Microsoft Azure, UiPath, and other languages and tools as required to streamline business processes and improve efficiency. Solution sets may include layers across the entire application stack, spanning front-end, back-end, data, AI/ML, DevOps, infrastructure, networking, and communications.
• ML, AI, and Cloud-Native Integration: Implement machine learning models and large language models within automation workflows and application features to enhance decision-making and predictive capabilities. Develop, deploy, and manage applications and related infrastructure resources on Azure.
• Collaborative Client Service: Work closely with clients, business leads, product owners, project managers, data scientists, and other stakeholders to gather requirements, define feature sets, and deliver high-quality, scalable solutions. Facilitate design sessions and code reviews that contribute to the continuous improvement of product architecture, coding standards, best practices, and automation resilience.
• Project Administration: Maintain comprehensive and up-to-date documentation for codebases and other solution components that ensure clarity and continuity, participate in Agile ceremonies, to ensure project alignment and progress, track and manage tasks using project management tools such as Jira, ensuring timely updates and transparent communication with the team.
• Internal Development: Lead the development and execution of internal innovation projects, driving the exploration and implementation of cutting-edge technologies. Mentor junior staff by providing guidance, code reviews, and fostering a collaborative learning environment to enhance their technical skills and professional growth.

Technical Skills:

• Proficiency in Python and experience with automation frameworks and libraries; other languages like C# and Java may be considered.
• Experience developing UiPath solutions; other UI automation tools and technologies like Selenium and Puppeteer are also acceptable.
• Familiarity with full-stack technologies and development, including front end (Streamlit, HTML, CSS, JavaScript), back-end (APIs, JSON, XML, logical workflow, exception handling, monitoring and logging, microservices), and data stores (SQL, noSQL, Cosmos, MongoDB, blobs).
• Familiarity with utilizing large language models (e.g., GPT, BERT) and their integration into automation processes, including RAG-based architectures and fine-tuning.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  Familiarity with common ML model types and related data engineering practices.
• Hands-on experience with deploying and managing solutions on Azure infrastructure; other cloud-native platforms like AWS and GCP are also acceptable.
• Experience working with code repositories like git and CI/CD deployment pipelines.

Other Qualifications:

• Strong problem-solving skills with the ability to analyze complex problems and develop effective, creative, and cost-conscious solutions.
• Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders and tailor the message to the audience.
• Strong interpersonal skills and the ability to work effectively in a team environment, taking on lead roles as needed
• Flexibility to adapt to changing project requirements and deadlines.
• Ability to prioritize tasks, manage time effectively, and work with minimal supervision.
• Strong client-facing skills with a consultative approach to solving business challenges.

Experience:

• 2-5 years of experience in automation programming and full-stack development.
• Demonstrable contributions in a project-based environment.
• Previous experience working with machine learning models and cloud-native platforms is highly desirable.
• Public sector consulting experience is a plus.

Education:

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Project management and/or Agile certifications a plus (PMP, CSM, CSPO, etc.)