Senior Level Systems Engineer- Emerging Technology AI Job at Integrity Technology Consultants (Fort Meade)

Lead AI Engineer, Banking Technology - Senior Vice President

We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver en...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive software engineering experience with sustained hands‑on contributions.
3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures.
Proven success architecting and delivering multiple enterprise‑scale AI solutions into production.
Expert‑level proficiency in Python and/or Java (Spring Boot)
solid experience with JavaScript/TypeScript (Angular, Node.js).
Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems).
Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK).
Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity).
Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries.
Proven ability to design and expose robust, scalable APIs for AI services.

Job Responsibility

Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
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.
Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases.

Fulltime

Senior AI Engineer

Location

India , Bangalore

Salary:

Not provided

SRKay Consulting Group

Expiration Date

Until further notice

Requirements

Vertex AI Suite: Hands-on experience with Vertex AI Agent Builder, Model Garden, and Vertex AI Search & Conversation
Gemini Ecosystem: Proficiency in utilizing the Gemini API (Pro, Flash, and Ultra) and Gemini Code Assist for accelerated development
Data Cleansing & Analytics: Hands-on experience in data cleansing with Python for grounding AI solutions in structured data
Agentic Frameworks: Expertise in LangGraph and LangChain for building stateful, multi-turn agentic applications
Model Engineering: Strong proficiency in Python (PyTorch, Scikit-learn, TensorFlow) for training, fine-tuning, and evaluating neural networks
Cloud: Proven experience with and a deep understanding of the Azure and GCP ecosystems
CI/CD/MLOps: Mastery of Vertex AI Pipelines, Azure DevOps, Argo Workflows, and container orchestration via Kubernetes (GKE)
Orchestration Tools: Expert-level knowledge of n8n, specifically using Python Code Nodes and custom API connectors
Real-time Data: Experience with CDC to ensure vector stores reflect real-time database changes
Experience building large-scale production AI workloads on Azure or Google Cloud

Job Responsibility

Enterprise Orchestration: Build and scale complex workflows using n8n (Vertex AI Pipelines experience is an advantage), ensuring seamless integration between LLMs (Gemini 2.5/3.0), internal systems and databases, and external APIs
Modern AI Deployment: Containerize and deploy models as scalable microservices using FastAPI, Docker, and GKE (Google Kubernetes Engine)
Advanced AI Orchestration: Design and implement sophisticated LLM workflows and multi-agent systems, potentially adopting frameworks like LangGraph, LangChain, AgentSkills, and MCP to create autonomous, tool-using solutions
End-to-End Agentic RAG Development: Lead the complete RAG lifecycle, managing everything from data cleansing, chunking, and embedding strategies to the final delivery of production-ready enterprise solutions
Model Optimization: Fine-tune Large Language Models (LLMs) and Small Language Models (SLMs like Gemma 3) using PEFT (LoRA/QLoRA) within Vertex AI Studio
Prompt Engineering: Develop and refine high-quality prompts to assist in the precise execution and optimization of AI solution logic
Market Intelligence: Maintain a proactive watch on the AI market to identify and adopt emerging technologies that provide a competitive advantage
Production Quality & Ops: Collaborate with MLOps/LLMOps teams to ensure seamless product delivery, implementing robust monitoring to maintain high production quality after go-live
Collaborative Solution Design: Work closely with the High-Code Engineering team and engage directly with business stakeholders to gather requirements and ensure AI solutions are perfectly aligned with user needs
Model Strategy & Evaluation: Perform rigorous model evaluations to decide which LLMs should be adopted or replaced within existing solutions to optimize performance and cost

Fulltime

Senior AI Infrastructure Engineer - Training Platform

As a Software Engineer on the Machine Learning Infrastructure team, you will bui...

Location

United States , San Francisco; Seattle; New York

Salary:

216000.00 - 270000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes)
Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++)
Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling
Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling
Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput
Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware
Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)
Proven ability to solve complex problems and work independently in fast-moving environments

Job Responsibility

Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery
Design and implement scheduling primitives to optimize the lifecycle of training jobs
Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures
Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability
Work closely with Finance and Procurement teams to drive our capacity planning process
Participate in our team's on call process to ensure the availability of our services
Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend (may be eligible)

Fulltime

Sr Principal Presales, Systems Engineer - Cloud & AI Networking

Sr Principal Presales, Systems Engineer - Cloud & AI Networking. This role has b...

Location

United States

Salary:

194500.00 - 456500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in engineering or related field required, advanced degree preferred
15+ years of technical experience in network infrastructure Architecture, design and solutions consulting, designing large-scale AI, Cloud Data Center in Hyperscale networking environments
15+ years of industry experience applying technical expertise with JunOS, EOS, IOS and hyperscale network architecture frameworks
JNCIE or equivalent certification
Deep hands-on expertise with hyperscale routing, MPLS traffic engineering, switching, SDN overlays (EVPN/VXLAN, MP-BGP), Network Fabrics and DCI solutions, network provisioning, automation and monitoring (Apstra, Paragon, NETCONF/REST APIs, YANG)
Familiarity with major networking silicon, hardware platforms and related software (e.g., Juniper, Arista, Cisco, SONiC, Cumulus etc.)
SME in Virtualization technologies on x86 and scaling using technologies such DPDK, SR-IOV, SmartNICs etc.
Proven success in complex pre-sales roles, with a strong ability to build relationships with senior technical and C-Level stakeholders
Experience with programming/scripting (Python, APIs, JSON etc.) to enable solution integration and automation
Strong communication, presentation, and interpersonal skills with the ability to influence diverse technical and business audiences

Job Responsibility

Act as a primary technical architect early in complex sales cycles, working independently or with Sales Engineers to translate business needs into scalable technical solutions
Architect end-to-end networking infrastructure solutions with strong expertise in data center, AI networking, hyperscale environments, and WAN technologies
Lead solution design and customization, orchestrating input from specialists, systems engineers, and product teams to meet customer requirements
Deliver compelling demos, proof-of-concepts, and technical presentations that clearly articulate HPE Networking’s value in customer use cases
Engage with hyperscalers, large enterprises, service providers and technology partners to co-design solutions addressing emerging challenges across industries and workloads
Influence technical strategy throughout deal validation, solutioning, and initial execution, ensuring smooth handoff to delivery teams
Develop best practices, enablement collateral, and architecture playbooks to scale solutions internally and with partners
Mentor and provide technical leadership to junior technologists and sales engineering teams
Navigate and adapt through complex technology transitions, maintaining thought leadership in networking innovations and industry trends

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

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 Principal Storage Systems Engineer

Join the Strategic Planning and Architecture (SPARC) team within Microsoft’s Azu...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 9+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 11+ years technical engineering experience OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
10+ years of experience with system performance evaluation using industry standard benchmarks and/or common cloud workloads
10+ years of experience with significant hardware/software co-design projects involving CPU and/or systems architecture and influencing technical direction
Prior experience developing and driving cloud technologies for improved TCO/$ and TCO/$/performance
Intellectual curiosity and passion about learning and deploying new technologies
Verbal and written communication skills and ability to engage technical & non-technical peers
Experience contributing to complex projects with respect and integrity, including those with multiple workstreams spanning different business and technical disciplines
Understanding of compute and storage systems in the cloud, including storage and network technologies, experience with software-defined storage and distributed file systems
Deep understanding of AI inference systems and associated software, and emerging approaches to orchestrate tiered memory and storage capabilities for distributed serving and KV caching for agentic systems

Job Responsibility

Drive pathfinding initiatives to identify and quantify optimization opportunities across distributed and disaggregated storage and memory architectures for computing and AI inferencing systems
Conduct in-depth architectural analysis of next-generation storage technologies, leveraging a strong understanding of workloads across key Azure segments
Collaborate cross-functionally to influence technology direction and contribute to long-term strategic planning for evolving datacenter architectures
Lead architectural exploration of emerging technologies through robust proof-of-concepts (PoCs) and end-to-end prototyping, aligned with product segments and real-world usage scenarios
Partner with hardware design and software enablement teams to mature innovations from concept validation to production-ready solutions
Engage with Azure operators and customers to identify current challenges and anticipate emerging needs across the platform
Evaluate and identify promising technologies aligned with Azure business priorities, engage ecosystem partners, and de-risk productization through capable PoCs
Work across organizational boundaries with roadmap planners, product architects, and hardware and software engineering teams to successfully integrate innovative solutions into Azure datacenters

Fulltime

Senior Data Scientist – Gen AI Engineer - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
8–12 years of experience as a Data Scientist or equivalent role, with at least 2 years of specialized, hands-on experience in Generative AI, including leading technical development and mentoring teams.
Demonstrable experience across the full lifecycle of production-level GenAI projects — from ideation and prototyping through deployment, monitoring, and ongoing maintenance in live environments.
Expert-level Python proficiency
Scikit-learn, XGBoost, LightGBM
PyTorch
Hugging Face Transformers, LangChain, LlamaIndex, Semantic Kernel
LangGraph, CrewAI, AutoGen
Transformer architectures
RAG patterns

Job Responsibility

Working with financial and enterprise data, applying modern NLP and GenAI techniques to solve business problems.
Designing, refining, and systematizing prompt engineering strategies for large language models (LLMs), including structured prompting, chain-of-thought, and few-shot/zero-shot approaches.
Collaborating with business stakeholders to translate requirements into GenAI-powered solutions.
Developing, testing, and maintaining production-grade Python code for GenAI applications.
Integrating with vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector, Qdrant) for retrieval-augmented generation (RAG) pipelines.
Building, monitoring, and optimizing MLOps/LLMOps pipelines for continuous model deployment and observability.
Researching and evaluating emerging GenAI technologies, frameworks, and best practices to maintain competitive advantage.
Troubleshooting and debugging GenAI models and agentic systems in production, including rapid identification and resolution of issues in real-world deployments.
Communicating complex AI/ML concepts clearly to non-technical stakeholders, translating technical jargon into actionable business terms.
Participating in and leading team meetings, design reviews, and architecture discussions.

Fulltime

New

Software Developer Senior - AI Agentic

Randstad Digital is actively seeking a Senior Software Engineer – Intelligent Au...

Location

Canada , Montréal

Salary:

101800.00 - 124400.00 USD / Year

Randstad

Expiration Date

August 16, 2026

Requirements

10+ years of professional, full-lifecycle software development experience
Expert-level mastery of Python and its ecosystem for enterprise-grade applications
Deep proficiency in API design (RESTful, asynchronous services), integration patterns, advanced data structures, and algorithmic optimization for high scalability
Rigorous background in automated testing frameworks (unit, integration, contract, and end-to-end testing) and robust Git-based version control workflows
Candidates must be legally authorized to work in Canada
prior local Canadian experience is a plus but not mandatory
Based on an assessment conducted by our client, it has been determined that this position requires candidates to be fluent in English (both spoken and written)
In particular, this position will require the employee to interact with centralized internal departments (e.g., Operations / HR / Finance / Legal / Contracts / Sales) that support the organization in Canada and that do not speak French

Job Responsibility

Agentic AI & Automation Engineering: Architect and deliver robust automation products and multi-agent AI ecosystems integrated into core business operations
Build scalable Python services, asynchronous APIs, and complex workflows orchestrating state-of-the-art LLM frameworks (e.g., LangGraph, LangChain, CrewAI, Semantic Kernel, and emerging technologies)
Guardrails & System Evaluation: Establish sophisticated evaluation structures to mitigate hallucinations, ensure prompt reliability, and validate tool execution
Design policy-based routing, input/output validation, and Retrieval-Augmented Generation (RAG) frameworks, alongside implementing Model Context Protocol (MCP) servers
Engineering Excellence & platform Standards: Author clean, testable, and highly documented code utilizing SOLID principles and clean architecture
Build for comprehensive operational observability (metrics, logs, traces, alerts) and design optimized, secure CI/CD pipelines
Risk, Security, and Compliance by Design: Partner with security and governance teams to ensure all solutions comply with enterprise data classification, least-privilege access, and disaster recovery strategies
Technical Leadership & Mentorship: Elevate the engineering team’s capabilities through rigorous code reviews, pair programming, and constructive feedback
Lead architectural debates, author Architectural Decision Records (ADRs), and guide stakeholder communication with composure

What we offer

Flexible Hybrid Work Model: Enjoy an optimal balance between remote productivity and collaborative in-office teamwork in Montreal
Compelling Compensation Package: Base salary starting range between $101,800 - $124,400 (flexible based on expertise), combined with a high-reward performance-based annual bonus structure targeting 12% (with potential multiplier up to double the target)
Premier Wealth Accumulation: Industry-leading company matching programs for equity purchases (up to 50% employer match) and robust savings programs
Long-Term Security: Rare access to a prestigious, secure Defined Benefit Pension Plan providing guaranteed lifetime retirement income
Comprehensive Wellness & Time Off: Comprehensive physical and mental health coverage, virtual healthcare access, dedicated wellness funds, and the flexibility to purchase up to 5 additional days of annual leave

Fulltime

Select Country

Senior Level Systems Engineer- Emerging Technology AI

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?