Full Stack Software Engineer (Microsoft Power Platform / AI Automation) Job at Piper Companies (Halethorpe)

Senior Solutions Engineer - Full Stack Developer

The role is critical to the firm’s success. You design and deliver enterprise so...

Location

United States , Cleveland

Salary:

140000.00 - 150000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

5+ years of experience as a Solutions Engineer or similar role
Bachelor’s degree in Computer Science, Information Systems, or related field - or equivalent hands-on experience
Strong experience configuring and integrating enterprise applications such as Salesforce, Workday, and Microsoft Power Platform
Proficiency with APIs, middleware, and integration frameworks to connect systems and enable data flow
Familiarity with AI/ML concepts and experience embedding AI services into enterprise workflows (e.g., Copilot, Azure AI, LLM APIs)
Demonstrated ability to translate business needs into technical solutions from ideation through delivery
Strong understanding of data modeling, reporting tools, workflow automation, and security configuration
Experience working in Agile/Scrum delivery frameworks, with a focus on adaptability and continuous improvement
Excellent problem-solving, collaboration, and communication skills
Ability to work in a fast paced Agile/Scrum delivery framework

Job Responsibility

Extend and customize enterprise platforms (e.g., Salesforce, Workday, Microsoft Power Platform) through APIs, code, and integrations while evaluating AI-powered development tools and automation opportunities
Design, develop, and maintain full-stack applications and automations that improve internal operations and workflows with focus on scalable, maintainable code and user-centered design
Collaborate with business stakeholders to capture requirements, translate them into technical solutions, and deliver clear documentation and training
Participate in code reviews, documentation, and internal demos to ensure transparency and maintainability following established quality standards and best practices
Cross-train with peers across languages and platforms to support a flexible and adaptable team including exposure to AI development tools and low-code/no-code platforms
Maintain and optimize system integrations across cloud and on-prem applications with focus on performance, reliability, and security
Partner with “citizen developers” to guide low-code/no-code solutions, ensuring maintainability, governance, and alignment with enterprise standards
Integrate AI services (Azure AI, OpenAI APIs, Microsoft Copilot, and other third-party tools) into workflows, automations, and enterprise platforms
Implement AI engineering practices such as prompt engineering, API integration, testing/validation of AI solutions, and adherence to the firm’s AI governance standards
Develop reusable AI-enabled solution components (connectors, templates, workflows) that accelerate adoption across business functions

What we offer

medical
dental
vision
paid time off
401k match
paid parental leave
education assistance

Fulltime

Senior Data and Application Engineer

The Senior Data and Application Engineer will participate and provide engineerin...

Location

United States , St. Inigoes

Salary:

150000.00 - 225000.00 USD / Year

KAIROS Inc

Expiration Date

Until further notice

Requirements

Expert level experience in DoD NIPR, SIPR, and/or JWICS platform engineering processes
Databricks, Foundry, Qlik, Tableau, Python, SQL, PySpark, Databricks, and other data, software, and application development capabilities
Excellent project management skills, with the ability to manage cross-functional teams
Strong communication and interpersonal skills, capable of leading technical discussions and driving alignment across teams
Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues in a fast-paced environment
Strong customer relations, analytics, documentation skills
Self-starter, highly motivated, strong work ethic with a commitment to quality
Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint
Ability to work within a challenging, fast-paced, team-oriented environment
Ability to work independently

Job Responsibility

Data and application engineering using existing enterprise architecture: Provide data engineering, data automation, and automated data mapping capabilities that will be used to power a series of software applications
Provide application engineering support necessary to deliver enterprise applications and required data analytics to achieve customer decision advantage
Deliver secure, scalable, and modular platform architecture that is optimized for DoD enterprise data automation, AI model deployment, and continuous feature updates across a global network of priority data platforms and/or customer-owned systems
Drive process standardization and platform improvements based on data analytics, performance metrics, and industry best practices
Technology Leadership: Lead multi-disciplinary hardware, software, AI, and data engineering teams focused on delivering capabilities and features described on the latest KAIROS EPAD technology roadmap
Recommend and implement cutting-edge technologies and methodologies to improve KAIROS data automation processes and platform capabilities
Process Optimization and Automation: Identify areas for process improvement, focusing on automation powered by optimized software applications and data automation capabilities across all KAIROS technology stack components
Continuously innovate new software application data engineering, and AI capabilities focused on delivering a seamless, secure, scalable, and cost-effective suite of KAIROS software and data automation products
Cross-Functional Collaboration: Collaborate with engineering, manufacturing, and product teams to ensure successful design and implementation of enterprise platform and data-automation solutions across various applications
Work closely with supply chain and operations teams to ensure material availability, cost efficiency, and process sustainability

What we offer

Medical Coverage
Employer Paid Dental, Vision, Basic Life/AD&D, Short-Term/Long-Term Insurance
Health Savings Account with Contribution by Employer
401K Plan with Employer Matching
Annual Discretionary Bonuses
Paid Time Off
Eleven (11) Paid Holidays
Certification reimbursement program
Tuition Reimbursement Program
Paid Parental Leave

Fulltime

Senior + Principal Software Engineers- Front End Applied AI for Microsoft Threat Protection (MTP)

The Microsoft Security Organization is building the next generation of security ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to JavaScript, TypeScript, HTML, CSS OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements including Microsoft Cloud Background Check.
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to JavaScript, TypeScript, HTML, CSS OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to JavaScript, TypeScript, HTML, CSS OR equivalent experience.
4+ years of hands on experience building modern front end and/or full stack applications in production environments
Experience developing user facing web applications using modern front end frameworks such as React, Angular, or similar component based frameworks
Experience designing and implementing scalable client side application architecture across enterprise or cloud based software platforms
Ability to collaborate across service boundaries with backend or AI platform teams to integrate user interfaces with distributed systems
Experience architecting scalable UI platforms or experience layers that integrate with cloud scale services or AI powered systems
Experience managing or technically leading engineering teams, including driving design decisions, mentoring engineers, and leading execution of complex software initiatives
Demonstrated experience partnering closely with product management, engineering, and design teams to deliver user centric software experiences

Job Responsibility

Design and build AI driven security product experiences powered by large language models, multimodal models, and emerging frontier AI capabilities
Develop scalable full stack solutions that enable AI native workflows across threat detection, triage, investigation, and incident response
Partner deeply across engineering, product management, and design teams to create holistic, intuitive user experiences for interacting with AI powered security systems
Translate complex security workflows into user centric AI optimized interfaces that enable automation, augmentation, and governed autonomy
Rapidly prototype and iterate on AI native experiences within live production environments while maintaining Microsoft standards for security, reliability, privacy, and trust
Collaborate with backend AI platform teams to integrate reasoning systems into end to end user experiences and operational workflows
Shape the long term technical direction of AI driven user interaction paradigms across the Microsoft Threat Protection platform
Mentor engineers and drive engineering excellence across cross disciplinary teams

What we offer

Certain roles may be eligible for benefits and other compensation
Additional benefits and pay information available at https://careers.microsoft.com/us/en/us-corporate-pay

Fulltime

Technical Architect (AI)

The AI Solutions Engineer is a specialist role, responsible for actively partici...

Location

Indonesia , Jakarta Selatan

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Demonstrated understanding of artificial intelligence, natural language processing (NLP), and machine learning principles
Expertise in selecting, fine-tuning, and deploying large and small language models (LLMs/SLMs), such as OpenAI's GPT series and open-source alternatives
Specialist proficiency in Python programming, essential for rapid prototyping, integration, and model implementation
Knowledge of additional programming languages (optional, but valuable): JavaScript / TypeScript, Java / C#
Familiarity with full-stack software development, including frontend and backend integration, user experience considerations, and system interoperability
Robust knowledge of data pipeline development, data engineering concepts, and handling of structured and unstructured data
Proficiency in cloud computing platforms (Azure, AWS, GCP), particularly in deploying, scaling, and managing AI workloads
Experience with Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel is highly desirable
Awareness and application of security, compliance, and risk management practices related to AI solutions
Understanding of ethical AI considerations, bias mitigation, and responsible AI deployment

Job Responsibility

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices

Fulltime

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...

Location

India , Mumbai

Salary:

Not provided

Waystone Governance Ltd.

Expiration Date

Until further notice

Requirements

Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
Analytical thinking with excellent problem‑solving ability and keen attention to details
Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption

Job Responsibility

Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
Integrate AI capabilities following secure, scalable engineering best practices
Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
Lead AI‑based document parsing and intelligent data extraction initiatives
Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
Prototype AI features and iterate towards production‑ready capabilities

Fulltime

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...

Location

United Kingdom , Leeds

Salary:

Not provided

Waystone Governance Ltd.

Expiration Date

Until further notice

Requirements

Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
Analytical thinking with excellent problem‑solving ability and keen attention to details
Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption

Job Responsibility

Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
Integrate AI capabilities following secure, scalable engineering best practices
Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
Lead AI‑based document parsing and intelligent data extraction initiatives
Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
Prototype AI features and iterate towards production‑ready capabilities

Fulltime

Senior Applied AI Engineer

Microsoft is seeking a Senior Applied AI Engineer to join a pioneering team focu...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
8+ years of professional software development experience with at least one of the following: C#, C++, or Java
8+ years of professional experience building cloud applications, preferably full stack
3+ years of experience with GenAI, LLMs, or agentic systems
Experience designing and implementing enterprise-scale services
Experience delivering Dynamics 365 and/or Power Platform solutions is desirable
Experience in agentic AI development and leveraging AI tools for development
Verbal, written, and cross-team collaboration skills

Job Responsibility

Design, build, and ship AI-powered software systems leveraging generative AI, LLMs, and agentic reasoning frameworks
Develop and integrate autonomous AI agents capable of task decomposition, multi-step planning, memory, tool usage, and dynamic decision-making across enterprise workflows
Apply state-of-the-art techniques including foundation models, prompt engineering, retrieval-augmented generation (RAG), multi-agent architectures, and classical machine learning where appropriate
Fine-tune and adapt foundation models using domain-specific data, and evaluate model behavior across relevance, quality, hallucination, bias, latency, and cost
Build rapid prototypes and translate them into production-grade systems, contributing to deployment, debugging, monitoring, and operational excellence
Design and implement evaluation frameworks and automated evaluators, using offline experiments, shadow testing, online experimentation, and telemetry to measure impact and guide iteration
Partner closely with product managers, researchers, and engineers to bring agentic capabilities into Microsoft’s business and productivity platforms
Write high-quality, well-documented, and maintainable code, along with clear technical design specifications
Mentor engineers and contribute to raising the overall engineering and applied AI bar across the team
Apply Responsible AI principles throughout the development lifecycle, proactively identifying and mitigating risks related to fairness, bias, privacy, security, and misuse

Fulltime

Senior Software Engineer

Project Sophia is a new generation business application, built ground up from ma...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
3+ years of extensive experience with one or more modern web technologies such as .NET / Node / React / Angular, building RESTful APIs
2+ years of solid experience in an OO Language like C# or Java
1+ year experience with large language models (LLMs) and generative AI
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design, implement, and ship AI-first product capabilities end-to-end from rapid prototype to production, spanning LLM-powered services, retrieval/grounding pipelines, and intelligent UX experiences that delight users through Sophia’s AI canvas
Own architecture and implementation across the full stack integrating front-end experiences, back-end services, and AI orchestration layers that connect models, context, and tools to deliver cohesive, extensible, high-performance systems
Collaborate with design, research, and platform teams to adapt or fine-tune LLMs/SLMs and multimodal models for real-world customer scenarios, ensuring outcomes are contextual, transparent, and human-centered
Build agentic, tool-using, and multimodal workflows that reason across data and services
optimize for safety, latency, reliability, and cost efficiency
Contribute to engineering excellence secure-by-design, accessibility compliance, automated testing, and code craftsmanship across the product lifecycle
Instrument and evaluate AI features with telemetry, experimentation, and continuous feedback loops to refine reasoning quality and user experience
Drive live-site reliability and operational excellence, participating in On-Call rotations while maintaining a sustainable, high-ownership engineering culture
Mentor peers and influence cross-team practices, sharing knowledge across AI, UX, and system-design disciplines

Fulltime

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Full Stack Software Engineer (Microsoft Power Platform / AI Automation)

Job Description

Job Responsibility

Requirements

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What we offer

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