This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers a unique opportunity to design, build, and implement cutting-edge AI-enabled enterprise solutions using Microsoft’s cloud and AI platforms. The Senior Consultant will lead the development of scalable, production-grade applications and analytics, integrating tools such as Power BI, Power Apps, Power Automate, Azure AI, and Microsoft Fabric. You will translate complex business challenges into intelligent technical architectures, drive innovation, and mentor teams while contributing to the organization’s thought leadership in AI and intelligent applications. The ideal candidate thrives in a collaborative, fast-paced environment, embraces experimentation, and is passionate about advancing Microsoft AI technologies to deliver transformative business impact. - Design and develop intelligent, AI-enabled solutions across Microsoft platforms, including Power BI, Power Apps, Power Automate, and Azure AI - Build scalable analytics solutions, semantic models, data pipelines, and automated workflows for enterprise clients - Integrate Microsoft Copilot and AI capabilities into business processes to create innovative, production-ready solutions - Translate complex business requirements into technical architectures, implementation approaches, and maintainable systems - Collaborate with cross-functional teams and stakeholders to ensure solutions are aligned with business objectives - Contribute to internal accelerators, reusable frameworks, and thought leadership within the AI and intelligent applications practice - Mentor and guide team members on best practices, emerging technologies, and Microsoft AI adoption Qualifications - Strong hands-on experience with Microsoft platforms, including Power BI, Power Apps, Power Automate, and Azure services - Proven experience designing and delivering production-grade applications, workflows, or analytics solutions - Working knowledge of Microsoft AI ecosystem tools, including Copilot, Azure OpenAI, AI Builder, and Microsoft Fabric - Solid data architecture and modeling skills, with experience designing scalable semantic models, ensuring data quality and governance - Ability to translate business needs into robust technical solutions, architectures, and scalable systems - Strong communication and documentation skills, with the ability to explain technical concepts to technical and non-technical stakeholders - Intellectual curiosity and growth mindset, with a passion for emerging technologies and advancing technical expertise - Experience in consulting, enterprise IT, or solution delivery environments is advantageous but not required Preferred Experience - Experience with Azure data services such as Azure SQL, Data Factory, Synapse, or Fabric - Building enterprise-scale Power BI semantic models and governance frameworks - Developing Power Apps or workflow automation solutions - Integrating AI capabilities into applications or analytics solutions - Familiarity with modern software engineering practices, DevOps, and cloud architecture Benefits - Comprehensive medical, dental, and vision coverage - Disability and life insurance - Flexible spending accounts and flextime off - 401(k) retirement plan with employer match - Opportunities for professional development and thought leadership - Collaborative, innovative work environment with exposure to cutting-edge Microsoft AI technologies

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description IDC is building the next generation of AI-powered intelligence platforms that transform how technology decisions get made. We are looking for a Technical Product Lead to own the product vision and strategy for the persistent memory and proactive Intelligence. - Define what the platform remembers, how it surfaces that knowledge, and when it reaches out proactively. - Set memory scope policy (what gets remembered and what doesn't). - Define the boundary between useful personalization and PII risk. - Establish materiality thresholds for change detection. - Design the opt-in/opt-out model for proactive alerts. - Work alongside a dev lead and a cross-functional team of 4-8 engineers. - Own the backlog, author requirements, define quality criteria, and make scope and prioritization decisions daily. What You’ll Do - Own the product vision, roadmap, and backlog for the persistent memory and proactive intelligence. - Define memory scope policy: what the platform remembers, what it doesn't, and the boundary between personalization and PII. - Define the product model for proactive intelligence: materiality thresholds, briefing content scope, delivery channel preferences, and opt-in/opt-out design. - Author detailed requirements and acceptance criteria for memory tiers and living intelligence features. - Make daily prioritization and scope decisions with the engineering team. - Define quality criteria for memory accuracy, retrieval relevance, and briefing usefulness. - Collaborate with the Channel & Integration Pod to ensure seamless memory and proactive delivery. - Work with legal and compliance stakeholders on data governance, retention policy, and user control requirements. - Represent the pod's roadmap and progress to leadership. Qualifications - 6+ years of product management experience, with significant time spent on AI/ML-powered products, data platforms, or personalization systems. - Experience defining product strategy for systems that manage user data, preferences, or behavioral context. - Track record of working as an embedded product lead within an engineering team. - Ability to translate ambiguous product goals into concrete requirements, acceptance criteria, and quality metrics. - Strong technical literacy to engage with engineers on system design, data models, and architecture tradeoffs. - Experience working across multiple teams or pods, defining interfaces and dependencies between workstreams. - Clear, structured communication with both engineering teams and executive stakeholders. - Proven ability to make well-reasoned, defensible decisions that balance trade-offs across scope, feasibility, and impact. - Passion for using AI tools to sharpen product thinking. Preferred Qualifications - Experience with AI personalization, recommendation systems, or memory/context systems. - Background in event-driven or proactive product experiences. - Familiarity with LLM-based systems and the unique product challenges they present. - Experience navigating data privacy and governance frameworks. - Background in enterprise B2B product management. Benefits - 15 vacation days (prorated based on start date). - 12 company-paid holidays. - 6 paid sick days (prorated based on start date; may vary by state). - Medical, dental, and vision coverage. - 2 floating holidays (prorated based on start date). - 1 volunteer day. - 401(k) company match (IDC matches 3% on the first 6% of employee contributions). - Company-paid short-term disability. - Company-paid life insurance. - Company-paid parental leave. Compensation Transparency The expected total annual compensation, depending on location and experience, is between $215,000-$300,000, inclusive of base salary and variable compensation. Equal Opportunity Employer IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a senior Unity engineer who wants to become a founding technical contributor. You would help: - Shape Unity architecture - Design spatial persistence systems - Build multi-user spatial interaction systems - Integrate AI-assisted development workflows - Define the long-term technical direction of the platform We are not looking for someone to simply use Unity. We are looking for someone who wants to help define the architecture of a new spatial computing product category. Qualifications - Deep Unity experience (typically 8–10+ years) - Experience shipping complex real-time systems - Enjoy architecting systems rather than just implementing features - Curious about AI integration into interactive environments Requirements - This role is designed for someone who wants to build a startup without having to start one alone from scratch. Benefits - This is an equity-first founding role. - Compensation is equity-only until our next funding round (target H2 2026). - You can join either part-time, while keeping your current role, or full-time. - Many experienced engineers start part-time first while evaluating the opportunity. Who This Is For - Engineers who have deep Unity experience. - Engineers who have shipped complex real-time systems. - Engineers who enjoy architecting systems rather than just implementing features. - Engineers who are curious about AI integration into interactive environments. - Engineers who want to build something meaningful with ownership. Who This Is NOT For - Do not apply if you are looking for a salaried job today. - Do not apply if you want a freelance contract or short-term gig. - Do not apply if you are bridging time until your next role. If Interested Send: - GitHub or portfolio - Examples of Unity systems you built - Anything you’ve experimented with involving AI Please also include short answers to the questions below. PS: If you have spent years building complex Unity systems and occasionally think: “If I were part of a startup, I would architect it differently,” you are probably the person we are hoping reads this.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description In this role, you will lead the design and development of scalable systems that power advanced AI-driven security and compliance solutions. You will architect full-stack applications and cloud-native infrastructures that enable intelligent automation and enterprise-grade AI workflows. Working closely with engineering, data, and product teams, you will help translate complex technical requirements into robust, production-ready systems. This role blends deep technical expertise with strategic architecture leadership, ensuring performance, reliability, and scalability across modern distributed environments. You will also play a key role in mentoring engineers and defining best practices for development, DevOps, and cloud engineering. - Design, develop, and maintain scalable full-stack applications using technologies such as Python and TypeScript to support advanced AI-driven workflows and automation systems. - Architect and implement secure, high-performance RESTful APIs that enable seamless communication between services and enterprise platforms. - Build and manage cloud-native microservice architectures on AWS, leveraging container orchestration platforms such as Kubernetes to ensure scalability and resilience. - Implement modern DevOps practices including CI/CD pipelines, infrastructure-as-code, automated deployments, and monitoring frameworks to streamline software delivery. - Develop automation frameworks and engineering tools that reduce manual processes and improve operational efficiency across AI and compliance systems. - Collaborate with data engineering teams to integrate microservices with analytics platforms and large-scale data pipelines supporting AI applications. - Ensure compliance with security best practices, governance policies, and cloud infrastructure standards. - Monitor, troubleshoot, and optimize system performance to guarantee reliability, availability, and scalability of deployed solutions. - Provide technical leadership and mentorship to engineering teams while contributing to architecture standards and engineering best practices. Qualifications - 10+ years of experience in software development with strong expertise across backend, frontend, and cloud or DevOps engineering environments. - Proficiency in Python, with additional experience in TypeScript or similar modern programming languages considered a strong advantage. - Proven experience designing and building RESTful or GraphQL APIs for scalable applications. - Hands-on experience working with AWS services such as EC2, Lambda, S3, RDS, and EKS. - Strong background in Kubernetes and containerized microservice architectures deployed in production environments. - Expertise in DevOps practices including CI/CD pipeline design and automation tools such as Terraform, Ansible, Jenkins, or GitHub Actions. - Experience integrating systems with large-scale data platforms, analytics systems, or data engineering pipelines. - Excellent problem-solving, communication, and collaboration skills with the ability to work effectively across cross-functional teams. - Strong organizational abilities with the capacity to manage multiple priorities in a fast-paced technical environment. - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience). - Professional cloud certifications such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer are highly valued. - Additional experience in AI automation frameworks, cybersecurity, compliance engineering, or regulated industries is considered a plus. Benefits - Competitive salary package aligned with senior technical leadership roles - Comprehensive health, dental, and vision insurance coverage - Flexible work arrangements with remote-friendly options - Generous paid time off and flexible leave policies - Paid parental leave and family-friendly benefits - Professional development support including certification and training reimbursement - Access to mental health and wellbeing support programs - Collaborative and inclusive work environment with opportunities to participate in community initiatives and employee resource groups