Senior Business Intelligence Engineer - Agentic Development Job at Microsoft Corporation (Multiple Locations)

Senior Java Engineer – Agentic AI Driven Development - Vice President

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java: Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks: Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware: Proven experience in designing and developing RESTful APIs and microservices
Relational Databases: Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases: Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps: Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control: Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing: Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex
Strong understanding of AI/ML concepts, prompt engineering, and integrating AI into software development workflows (e.g., for code generation, testing, debugging, and documentation)

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot:Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity: Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery: Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software:Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning: Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality. Continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines: Utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems. Implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows
Contribute to the strategic planning and technical roadmap for our middleware platforms: Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development: Utilize AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation

Fulltime

Senior Engineer- Artificial Intelligence

We’re looking for a seasoned Senior AI Engineer to join our growing AI team. In ...

Location

Canada , Toronto

Salary:

126090.00 - 140100.00 CAD / Year

Tucows

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
5+ years of software engineering experience, with recent focus on AI/LLM systems
Advanced proficiency in Python and Golang
Strong knowledge of software design patterns (SOLID, DRY, CQRS, Saga, event-driven)
Deep understanding of the Software Development Life Cycle (SDLC)
Proven experience building distributed, highly available systems at scale
Strong system design expertise: APIs, async processing, backpressure, fault tolerance
Experience with event-driven systems (Kafka, RabbitMQ)
Strong engineering practices: TDD, CI/CD, code reviews, and technical debt management
Experience writing and communicating Architecture Decision Records (ADRs)

Job Responsibility

Lead the architecture and development of AI-driven features using Python and Golang
Own end-to-end delivery of LLM-based systems — from prototype to production — with a focus on scalability, reliability, and cost efficiency
Integrate and fine-tune open-source models (e.g., LLaMA, Mistral, Mixtral) and drive model selection and serving strategies
Research and champion emerging AI technologies aligned with product vision
Define and uphold architectural best practices through design and code reviews
Mentor junior and intermediate engineers, providing technical leadership on complex problems
Translate AI capabilities and constraints into clear business context for non-technical stakeholders
Shape responsible AI practices, including safety, privacy, and governance
Stay current with the open-source AI ecosystem and bring forward relevant innovations

What we offer

Generous benefits
Fair compensation
Remote-first work for majority of roles
Reasonable accommodation for individuals with disabilities

Fulltime

New

Senior AI Engineer – LLM & Agentic Systems

Our partner, Hungary's largest agricultural machinery manufacturer, is looking f...

Location

Hungary , Budapest

Salary:

Not provided

Randstad

Expiration Date

September 30, 2026

Requirements

Relevant Education: successfully completed a degree in computer science, data science, software engineering, mathematics, or a comparable field is a big advantage
AI & ML Experience: proven track record in developing AI- or ML-based applications, ideally with a strong focus on Large Language Models (LLMs)
Programming & Frameworks: sound knowledge of Python and hands-on experience with relevant AI libraries and frameworks, such as LangChain and LangGraph
Cloud & Microservices: experience with cloud platforms (primarily Azure or AWS) and designing distributed systems or microservice architectures using Java and Spring Boot
API & Core Concepts: deep familiarity with developing and integrating APIs, container technologies (Docker, Kubernetes), prompt engineering, RAG, vector databases, and agent-based systems
CI/CD & MLOps: knowledge or experience with CI/CD, MLOps, or LLMOps practices is considered a strong plus
Consultative & Communication Skills: excellent teamwork, solution-oriented mindset, and very good English communication skills (written and spoken) to effectively advise business departments
German knowledge is a plus

Job Responsibility

Generative AI Production: Design, implement, and operate services based on modern Large Language Models (LLMs) for productive systems
Agentic Workflows: Build intelligent, autonomous agent-based workflows together with our development teams
Cloud Architecture: Design and implement scalable microservice architectures that deliver AI functionality in cloud environments (Azure, GCP or AWS)
RAG Optimization: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines as well as prompt and tool integrations
Cross-Functional Integration: Partner closely with various business departments, product, data, and infrastructure teams to integrate AI solutions into existing systems and business processes
Performance & Evaluation: Ensure the performance, scalability, and reliability of AI services through monitoring, testing, and deployment, while continuously evaluating new Generative AI trends

What we offer

Fast growing company with strong and stable international background
Interesting company scope with improvement opportunities
Market level compensation package
Inspiring work atmosphere
Great team work and familiar company culture
Opportunity for joining a new Hungarain team with great ambitions
Hybrid working model (around 10% onsite)

Fulltime

Senior Solution Engineer - AI Business Process

Our purpose is to empower organizations to transform the way they work by harnes...

Location

United States , Multiple Locations

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR 5+ years technical pre-sales or technical consulting experience OR equivalent experience.
Authorization to work in the United States that does not now or in the future require employer sponsorship.
8+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience.
4+ years of experience showcasing the value and demonstrating capabilities of one or more of the following cloud-based systems: Dynamics 365, Finance & Supply Chain, Sales/Service/Field Services and/or similar AI-powered CRM and ERP business applications OR Microsoft Power Platform, Copilot Studio and/or similar suite of low-code tools to create intelligent agents for business processes.
4+ years of experience leading architecture discussions and technical engagements (e.g., ideation workshops, hackathons, PoCs, MVPs) that drive production-scale outcomes.
6+ years of experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.

Job Responsibility

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain and grow deep expertise in AI Business Processes, specializing in Finance & Supply Chain, Power Platform, and/or Sales & Services.
Represent Microsoft through thought leadership in developer communities and customer forums.
Embody our culture and values.

Fulltime

Ai Engineer Ii & Senior Ai Engineer - Getting Customers Ready For Ai

Security represents the most critical priorities for our customers in a world aw...

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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Must pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design, build, and improve AI-powered solutions, including machine learning models, LLM-based applications, RAG systems, and agentic workflows that solve customer and business challenges
Develop and operate scalable data pipelines, ETL processes, training datasets, and AI infrastructure to support model development, deployment, and lifecycle management
Deploy, monitor, and optimize AI systems using MLOps practices, leveraging telemetry and feedback to improve performance, reliability, security, and scalability
Transform large-scale, multi-source data into contextual intelligence, automation, and decision-support capabilities that drive customer and business outcomes
Build and integrate AI capabilities into applications, services, APIs, and platforms to deliver end-to-end customer experiences
Contribute to AI readiness initiatives through frameworks, metrics, telemetry, and solutions that help customers securely adopt and operationalize AI technologies
Demonstrate a builder mindset by rapidly prototyping, experimenting, and iterating on AI solutions while navigating ambiguity and evolving requirements
Partner across engineering, data science, product, and customer teams to translate complex problems into practical, AI-driven solutions
Write maintainable, well-tested code and contribute to engineering excellence through documentation, operational rigor, governance, and adherence to security, compliance, and Responsible AI practices
Embody our culture and values

Fulltime

Digital Software Engineer Senior Manager - Vice President

The Digital S/W Engineer Sr Mgr accomplishes results through the management of p...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

11-17 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expertise in one or more areas with at least 3+ years of deep specialization in AI/ML, NLP, or Generative AI development
Proven experience in successfully building, leading, and delivering complex technology projects from conception through to deployment and ongoing support
Proven experience in leading high performance teams spread across multiple locations
Effectively coach and give feedback to direct reports to help develop talent and support career development
2+ years of experience building and operating production-grade AI systems such as digital assistants, recommendation engines, or similar intelligent platforms
2+ years of deep, applied experience with LLM technologies (GPT-4, Claude, Gemini, or equivalent), including prompt engineering, fine-tuning, and cost optimization in production environments
Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases for knowledge-grounded AI applications
Demonstrable experience in designing and deploying agentic AI workflows and multi-agent systems using modern frameworks
Proficiency in NLP model development using industry-standard libraries and ML frameworks
Expert-level Python development skills with strong command of RESTful APIs, microservices architecture, and cloud platforms

Job Responsibility

Accountable for executing and driving enterprise grade application design and development efforts to completion, serving as a development lead
Proficient at operating with considerable autonomy and significantly influence the way an application is designed and developed by providing subject specific expertise and an advanced level of understanding of application programming principles
Participate in design discussions as a Development Lead and play the part of a key decision maker in driving design decisions
Partner with industry vendors that provide technology or user experience design components that support our Digital architecture and work with vendors on our implementation plans and roadmaps identifying partnership opportunities to increase our development velocity and our learnings
Directly impact the business by influencing strategic functional decisions through advice, counsel or provided services
This will require persuading and influencing others through strong and comprehensive communication and diplomacy skills
Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels
Regularly review metrics and proactively seek out new and improved mechanisms for visibility ensuring your program stays aligned with organization objectives
Share knowledge with the team in various forums (brown bags, engineering forums etc.) and demonstrate a higher level of knowledge through industry certifications
Integrate LLMs for conversational understanding and response generation

Fulltime

Ai And Application Development Engineer - Assistant Vice President

We are seeking a highly motivated and skilled Senior Software Engineer to join o...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

4+ years of relevant experience
Experience in systems analysis and programming of software applications
Familiarity with the Google ADK or similar AI development kits/platforms
Experience in managing and implementing successful projects
Demonstrable experience with AI Agents, including their design, implementation, and integration into software systems
Practical experience and a strong understanding of Prompt Engineering principles and best practices
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Senior Engineer, Interactive Voice Response - AI/ML

Our Service Engineering team at GEICO is revolutionizing customer service using ...

Location

United States , Palo Alto, CA; New York City, NY; Chevy Chase, MD

Salary:

80000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++
Proven experience designing, developing, and deploying AI or machine learning models (LLMs) in production environments, with a focus on scalability and performance
Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS)
Demonstrated ability to apply AI/ML solutions to real-world business problems, delivering measurable impact in areas such as natural language processing, speech recognition, recommendation systems, or intelligent automation
Experience in building products using micro-service-oriented architecture and extensible REST APIs
Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
Experience with continuous delivery and infrastructure as code
Experience in leveraging PowerShell scripting
Experience in existing Operational Portals such as Azure Portal
Experience with application monitoring tools and performance assessments

Job Responsibility

Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat)
Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience
Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into scalable AI/ML solutions
Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring
Stay at the forefront of AI and distribute systems research, bringing innovative approaches and tools into production environment
Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
Consistently share best practices and improve processes within and across teams

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Senior Business Intelligence Engineer - Agentic Development

Job Description

Job Responsibility

Requirements

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