CrawlJobs Logo

Lead AI Engineer, Agentic Solutions Acceleration

outsystems.com Logo

OutSystems

Location Icon

Location:
United States , Menlo Park

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The Lead AI Engineer will be the principal technical authority for the design, development, and deployment of the core AI Agent systems within the Solutions Team. You will be responsible for defining the reference architecture for all agentic solutions, mentoring senior engineers, and ensuring technical alignment with the Director's strategic vision.

Job Responsibility:

  • Define Agent Reference Architecture
  • Technology Vetting
  • Design Reviews
  • Complex Agent Development
  • Low-Code Integration Strategy
  • Performance and Governance
  • Technical Guidance
  • Cross-Functional Alignment

Requirements:

  • 8+ years of experience in software engineering, with experience building production-grade AI Agents and complex intelligent systems within the enterprise
  • Mastery of LLMs, advanced prompt engineering, RAG strategies, fine-tuning, and grounding techniques
  • Expert-level knowledge and practical experience leading teams utilizing major AI Agent orchestration frameworks (LangChain, Semantic Kernel, or deep internal frameworks)
  • Expert-level coding skills in Python, coupled with extensive experience in cloud-native deployment, containerization (Docker/Kubernetes), and managing scalable APIs (REST/gRPC)
  • Demonstrated ability to implement security best practices (e.g., authorization, data masking) and enforce Responsible AI governance and guardrails in production systems

Nice to have:

Familiarity with the OutSystems platform or similar low-code/no-code platforms, understanding their integration patterns and architecture limitations

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
PREMIUM
More languages and countries
+ Unlock 31697 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Lead AI Engineer, Agentic Solutions Acceleration

Sales Engineering Lead

EvoluteIQ is seeking a Sales Engineering Lead to drive pre-sales and sales engin...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
evoluteiq.com Logo
EvoluteIQ
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8–10 years of experience in pre-sales, solution engineering, or consulting for enterprise software, automation, or AI-driven platforms
  • Hands-on knowledge of process automation, AI/ML, data integration, API orchestration, or low-code/no-code environments
  • Experience collaborating with global channel partners, system integrators, or technology alliances
  • Familiarity with one or more BPM (Appian, Pega, Camunda), LCAP (Outsystems, Mendix) and automation stacks (e.g., ServiceNow, UiPath, Power Automate, Blue Prism, MuleSoft) and cloud platforms (AWS, Azure, or GCP), as well as Agentic AI and Generative AI technologies
  • Proven ability to connect technical capabilities with business outcomes and present to C-suite stakeholders
  • Strong communication, executive presentation, and solution storytelling abilities
  • Strategic thinker with the ability to influence joint go-to-market initiatives and co-create customer success outcomes
  • Bachelors or Masters degree in computer science, Engineering, or a related field
  • MBA preferred but not mandatory
Job Responsibility
Job Responsibility
  • Lead all technical pre-sales engagements for new opportunities, from discovery, requirement scoping, and solution design to technical validation, proposal creation and proof-of-concept delivery
  • Collaborate with business, sales, and technical teams to understand customer objectives and expand solution footprints
  • Translate business objectives and challenges into robust technical architectures and solution proposals that clearly articulate value, ROI, and platform differentiation
  • Design and deliver customized product demonstrations, solution architectures, and joint proof-of-concepts highlighting the EIQ platform’s unified automation capabilities
  • Coordinate for partner enablement workshops and provide ongoing knowledge transfer to enhance Eguardian’s sales and delivery maturity
  • Serve as a solution advisor by identifying and shaping new Agentic Automation use cases leveraging AI, ML, RPA, and orchestration
  • Act as a technical liaison between EvoluteIQ’s product, engineering, and partner management teams to ensure solution scalability and roadmap alignment
  • Design and present compelling solution demos, proofs of concept (POCs), and architecture blueprints tailored to client industries (banking, healthcare, insurance, telecom)
  • Build reusable demo assets, templates, and solution accelerators to support repeatable GTM success
  • Partner with Delivery teams to ensure a seamless handover from pre-sales to implementation
What we offer
What we offer
  • Opportunity to shape the strategy of a next-gen hyper-automation platform
  • Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
  • Competitive compensation and growth opportunities
  • A culture of innovation, ownership, and continuous learning
  • Fulltime
Read More
Arrow Right

Lead Product Designer, AI

We are looking for a Lead Product Designer to be a key pillar in the AI Design t...
Location
Location
United States
Salary
Salary:
157500.00 - 246750.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of product design experience designing complex or enterprise-level software
  • High level of craft for visual design execution
  • Experience in AI products across Search, Chat, and Agents
  • Experience in end-to-end UX/product design to design impactful solutions to challenging problems
  • Passion for story-telling, the ability to bring design direction to life with compelling narrative
  • Experience balancing customer needs with business goals, market viability, and technical feasibility
  • Facilitation and cross-functional collaboration skills: you can demonstrate the ability to integrate the work of multiple teams, solicit and synthesize feedback, and facilitate design discussions that lead company wide outcomes
  • Experience measuring success with qualitative and quantitative methods
  • Experience improving process and methodology to increase product value, team velocity and accelerate adoption of new capabilities
Job Responsibility
Job Responsibility
  • Design foundational AI patterns with a focus on visual systems, design languages, and brand direction
  • Partner with leadership, stakeholders, cross-functional teams to create a unified view of AI capabilities across Atlassian
  • Lead design projects from creation to execution and be responsible tying back to customer value delivery and outcomes
  • Identify success metrics ensuring design solutions continue to deliver customer value
  • Identify opportunities to enhance our products and accelerate AI and search experiences at Atlassian
  • Collaborate with some of the industry's smartest (and nicest) people. You'll work with Engineers, Product Managers, Content Designers, Researchers, Marketing Experts, and Analysts to advocate for the user experience in our products and ship high-quality work
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • Fulltime
Read More
Arrow Right

Head of Agentic AI

The Head of Agentic AI is a strategic innovation leader responsible for pioneeri...
Location
Location
Italy , Milano
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Degree and Postgraduate degrees in Computer Science, Artificial Intelligence, or Mathematics Engineering
  • Proven Experience in AI & Data for Telco
  • Hands-on experience with LLM frameworks (e.g., ADK, LangChain, LiteLLM), Vector Embeddings, Vector and Graph Databases (e.g. Cloud Spanner)
  • Proven experience delivering Data Intensive applications and APIs
  • Experience in a highly complex enterprise, or consulting or professional services environment, is highly desirable
  • Hands-on experience in Google Cloud Platform
  • Experience in managing distributed engineering teams
  • Proven Experience in delivering AI Agents
Job Responsibility
Job Responsibility
  • Agentic AI Platform: Deliver reusable Agentic AI platform frameworks and accelerators
  • AI Factory Management: Lead and develop a "Chapter" of high-skilled AI experts (ML Engineers, AI Engineers), allocating them dynamically to Product Teams (e.g., Super Tobi, AI Products) based on demand
  • Agentic AI Strategy Delivery: Define and execute the roadmap for autonomous agents, multi-agent systems, and the "Agentic Framework"
  • Delivery of RAG, GraphRag, Knowledge Management and MCP
  • Innovation & Value Creation: Prototype and industrialize high-complexity AI use cases that leverage reasoning and autonomy to generate new revenue streams or massive efficiencies
  • Architecture Evolution: Transform the architecture from static models to dynamic, context-aware agent ecosystems that can integrate with enterprise systems
  • Consulting & Delivery: Adopt a "consultancy mindset" to understand complex business problems from C-level stakeholders and deploy the right agentic solutions to solve them
Read More
Arrow Right

Solution Architect Manager

Microsoft Industry Solutions Delivery (ISD) is at the forefront of delivering AI...
Location
Location
Japan , Tokyo
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, Business, Finance, or related field, or equivalent experience
  • 6+ years leadership experience in consulting, delivery, architecture, or enterprise transformation
  • 4+ years customer-facing consulting or delivery experience
  • 3+ years team leadership or people management experience
Job Responsibility
Job Responsibility
  • Deliver success through empowerment, accountability, coaching, and care
  • Build a high-performing, inclusive, and AI-first culture
  • Drive team readiness, capability growth, morale, and career development
  • Ensure strong certification and skilling alignment across Copilot, Agentic AI, CCaaS, and Azure AI
  • Lead AI-first delivery practices across engagements, embedding Copilot, Agentic AI, and automation into customer transformation programs
  • Drive adoption of Microsoft AI solutions including Copilot, Agentic AI, and related business applications scenarios
  • Build reusable best practices, accelerators, and delivery patterns to scale AI-first transformation across Japan and Asia
  • Partner with Engineering and COE teams to bring innovative AI capabilities into customer engagements
  • Lead solution delivery across strategic E7 transformation programs spanning Agentic AI, Copilot, CCaaS, and AI scenarios
  • Engage with senior customer stakeholders and executives to align business priorities and drive transformation outcomes
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

Location
Location
India , Bangalore
Salary
Salary:
Not provided
srkay.com Logo
SRKay Consulting Group
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Principal Architect - Data AI

Microsoft is on a mission to empower every person and every organization on the ...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain
  • OR Master’s Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain
  • OR equivalent experience
  • 6+ years technical sales experience
  • 6+ years project management experience
  • Technical or Professional Certification in AI Domain
  • Inclusive and collaborative – driving teamwork and cross-team alignment
  • Strong partner relationship management and solution development skills
  • Conversant knowledge of competing platforms and solutions
  • Proven track record of building deep relationships with CXOs
Job Responsibility
Job Responsibility
  • Lead client engagements from definition through delivery to ensure technical and AI transformation success for our customers
  • Collaborate with enterprise customers to scope and define requirements, architect and design solutions, and deliver transformational, customized industry solutions and services, including AI-powered applications
  • Ensure all solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
  • Develop deep relationships with key customer decision makers (both Business and IT) who drive long-term innovation and transformation to our customers’ product roadmap
  • Be a Voice of Customer to share insights and best practices, connect with Engineering teams to remove key blockers and drive product improvements
  • Proactively identify opportunities for integrating modern architecture patterns and emerging technical solutions—including AI, machine learning, and generative AI—into current designs
  • Evaluate, identify, mitigate and eliminate risk, provide guidance, and propose immediate solutions
  • Communicate effectively with all stakeholders, including senior customer executives, Enterprise Architects, Developers, Data Scientists, and IT Management
  • Lead deep technical architecture discussions and development of POCs, including AI solution prototypes
  • Guide customers to production deployment and operationalization of both application and AI solutions
  • Fulltime
Read More
Arrow Right

AI Business Solutions, Global Solution Architect

We are looking for a Cloud Solution Architect (CSA), specializing in Agents, who...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, Information Technology, Engineering, Business, or related field AND 7+ years' experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
  • OR equivalent experience
  • Mandatory hands-on experience in AI agents development and Copilot Studio
  • Ability to engage with CxO, business and technical decision makers
Job Responsibility
Job Responsibility
  • Accelerate AI transformation and Value Realization: Actively engage with CxO, business and technical decision makers to drive intent, enablement and usage of Agents, M365 Copilot and other Microsoft AI solutions, securing long-term customer renewal. Galvanize technical and sales experts around additional identified opportunities to develop customer specific roadmaps that drive further growth & business value realization
  • Customer Insights: Provide feedback & insights from customers back to the relevant MS teams including Product Groups, to enable continuous improvement
  • Customer Satisfaction: Drive positive Customer Satisfaction, and become a trusted advisor to customers, by leveraging Microsoft’s AI solutions such as Agents, M365 Copilot and Chat to enable defined Customer Success Plan outcomes. You will actively listen and respectfully challenge to drive the best outcomes
  • Usage (Cloud & Support) Growth: Develop opportunities to drive Customer Success business results by working with business & technical decision makers to ensure they understand Microsoft’s AI solutions value proposition. Lead architecture design sessions on Agents and M365 Copilot, address customer questions and provide best practices for activating solution within customer environment
  • Identify resolutions to issues blocking the go-live of customer success projects by leveraging deep knowledge of M365 Copilot and Agents, technical subject matter expertise. Lead business & technical conversations with customers to drive value from their MS investments. Deliver all work according to MS best practices & policies and using repeatable IP
  • Learn It All: Demonstrate Self Learner mindset through continuous alignment of individual skilling to team/area demands and Customer Success goals
  • Accelerate Customer Outcomes: Engage in relevant communities to share expertise, contribute to IP creation, prioritize IP re-sure, and learn from others to help accelerate your customers’ transformation journey
  • Fulltime
Read More
Arrow Right

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...
Location
Location
United States , Minneapolis
Salary
Salary:
322000.00 USD / Year
coherentsolutions.com Logo
Coherent Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
  • at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
  • 10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
  • and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
  • 5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
  • (ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
  • (iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
  • and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
  • presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
  • at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph
Job Responsibility
Job Responsibility
  • Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
  • Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
  • Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
  • Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
  • Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
  • Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
  • Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
  • Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
  • Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
  • Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact
What we offer
What we offer
  • health insurance
  • vision insurance
  • dental insurance
  • life insurance
  • PTO
  • 401k
  • HSA
  • Fulltime
Read More
Arrow Right