Lead Process Engineer – Observe to Agent Delivery Job at Wells Fargo (Charlotte)

New

Enterprise AI Architect

The Enterprise AI Architect proactively and holistically works with enterprise d...

Location

United States

Salary:

118100.00 - 212500.00 USD / Year

Healthfirst

Expiration Date

Until further notice

Requirements

Master’s or bachelor’s degree in business, computer science, engineering, systems analysis, or related field, or equivalent experience
Minimum of two years of design and implementation experience in IT, including deep knowledge of AI/ML frameworks, AI development environments, cloud platforms, and big data technologies
Minimum of two years of experience in solution architecture development and delivery, including business architecture interpretation
Experience designing or implementing agent-based AI systems, autonomous agents, multi-agent orchestration, or workflow‑integrated AI components
Working knowledge of business process management (BPM), process modeling, and translating processes into agent-oriented workflows
Understanding of A2A communication principles, MCP-based tool integration, and foundational agent governance concepts
High School diploma or GED from an accredited institution

Job Responsibility

Collaborates with all delivery programs to assess solution requirements, evaluate AI/ML technologies, and support model/vendor selection
Provides architectural guidance to business domain aligned delivered programs by defining and designing AI‑enabling technologies that support business capabilities, processes, and enterprise initiatives
Supports design and governance of enterprise agentic AI architectures, including autonomous agents, multi‑agent systems, A2A communication patterns, and agent orchestration frameworks
Leads integration of Model Context Protocol (MCP) to standardize tool, service, and data access across agents, ensuring secure, auditable, and consistent interactions
Architects and operationalizes an enterprise Agentic Control Plane (ACP) to manage agent lifecycle, permissions, safety constraints, observability, escalation pathways, and runtime governance
Recommends business processes modernization options using business process management (BPM) and process mining methodologies to support agent-driven or multi‑agent execution
Supports delivery teams in implementing AI solution architectures aligned with enterprise reference architecture, security requirements, and governance protocols
Stays current with developments in AI research, agentic systems, orchestration frameworks, LLM methodologies, and emerging enterprise AI technologies
Conducts technology-neutral due diligence to evaluate AI platforms, agent frameworks, MCP compatibility, ACP infrastructure, and enabling tools
Partners with business stakeholders and delivery leaders to deliver architectural runway for highly composable AI and agent capabilities

What we offer

medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions

Fulltime

Principal Consultant - Apps

Microsoft Industry Solutions - Global Center Innovation and Delivery Center (GCI...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

20+ years of experience in software/solution engineering, with at least 10–15 years as Architect and delivery leadership roles
Proven experience in leading delivery of complex, multi-disciplinary projects
Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.)
Excellent communication, stakeholder management, problem-solving, and team leadership skills
Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)
Relevant certifications are a plus
End‑to‑end design and development of modern web and mobile applications using React, Angular, Next.js, Blazor, or equivalent frameworks
Strong backend engineering expertise using .NET, Java, Node.js, or Python, applying clean architecture, domain‑driven design, and API‑first principles
Experience building scalable microservices and distributed systems, leveraging REST, gRPC, event‑driven architectures, and asynchronous processing
Hands‑on data and platform fundamentals, including relational and NoSQL databases (Azure SQL, PostgreSQL, Cosmos DB), performance tuning, scalability, resiliency, and application security

Job Responsibility

Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable
Own the Architecture and drive end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes
Ability to step into at‑risk projects, quickly assess issues, and establish a credible path to recovery or exit
Champion high-quality engineering practices across all delivery engagements
Ensure adherence to coding standards, architectural integrity, and performance benchmarks

Principal Consultant A2 - Infra

Microsoft Industry Solution - Global Center Innovation and Delivery Center (GCID...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related field AND 3+ years leadership experience in relevant area of business. Higher Education Preferred
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 Cloud Infrastructure domain
Highly proficient & solid Customer facing Project experience involving solution design, project envisioning, planning, development, and deployment of complex solutions with minimum of 10 plus years
Must have a proven record of delivering technical solutions
2+ years managing multiple projects or portfolios
1+ year(s) experience leading blended, multidisciplinary teams
Preferred Qualifications: Overall minimum 20+ Year of industry experience
Technical or Professional Certification in Cloud Infrastructure domain
Open to travel domestically and internationally and work with different cultures and customers
Technical certifications based on domain/service line (e.g., Azure, Security, Dynamics)

Job Responsibility

AI-First Delivery Leadership: Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable
Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes
Ability to step into at risk projects, quickly assess issues, and establish a credible path to recovery or exit
Engineering Excellence: Champion high-quality engineering practices across all delivery engagements
Ensure adherence to coding standards, architectural integrity, and performance benchmarks

Fulltime

Director of Quality Engineering

HMH is a learning technology company committed to delivering connected solutions...

Location

India , Pune

Salary:

Not provided

EdTech Jobs

Expiration Date

Until further notice

Requirements

15+ years of experience in software quality engineering
At least 7+ years in leadership roles overseeing QA/QE or Platform Engineering
Proven experience managing large engineering teams across geographies, preferably 50+ team members
Demonstrated success leading AI/automation initiatives within engineering or quality organizations
Deep expertise in modern testing strategies, CI/CD pipelines, cloud-native architectures, and tooling
Strong understanding of SDLC, release governance, and large-scale program execution
Excellent communication, stakeholder management, and leadership presence
Ability to operate in a fast-paced, matrixed global environment

Job Responsibility

Provide on-the-ground leadership for all QE teams in Pune, ensuring strong engagement, alignment, and execution
Develop and execute a strategy to elevate engineering maturity, strengthen delivery discipline, and scale operational excellence
Serve as a key member of the global engineering leadership team, driving alignment across geographies and business units
Engage with cross-functional teams, including product managers and business leaders, to align technical efforts with company objectives
Lead adoption and integration of AI, autonomous testing solutions, and agentic workflows to improve efficiency, accuracy, and delivery velocity
Champion innovation in automation frameworks, intelligent observability, and predictive analytics across QE
Evaluate and drive implementation of advanced tooling and platforms to enhance productivity
Oversee roadmap delivery for Platform and Curriculum initiatives, ensuring commitments are met with speed, reliability, and quality
Establish strong governance, release management rigor, and continuous improvement practices
Partner closely with Product, Architecture, Engineering, and Program teams to ensure seamless end-to-end delivery

Fulltime

Senior/Architect Data Engineer

We are seeking a highly skilled and experienced Senior/Architect Data Engineer t...

Location

Poland , Warsaw; Poznań; Lublin; Katowice; Rzeszów

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience architecting solutions on the Databricks Lakehouse using Unity Catalog, Delta Lake, MLflow, Model Serving, Feature Store, AutoML, and Databricks Workflows
Expertise in real-time/low latency model serving architectures with auto-scaling, confidence-based routing, and A/B testing
Strong knowledge of cloud security and governance on Azure or AWS, including Azure AD/AWS IAM, encryption, audit trails, and compliance frameworks
Hands-on MLOps skills across experiment tracking, model registry/versioning, drift monitoring, automated retraining, and production rollout strategies
Proficiency in Python and Databricks native tooling, with practical integration of REST APIs/SDKs and Databricks SQL in analytics products
Familiarity with React dashboards and human-in-the-loop operational workflows for ML and data quality validation
Demonstrated ability to optimize performance, reliability, and cost for large-scale analytics/ML platforms with strong observability
Experience leading multi-phase implementations with clear success metrics, risk management, documentation, and training/change management
Domain knowledge in telemetry, time series, or industrial data (aerospace a plus) and prior work with agentic patterns on Mosaic AI
Databricks certifications and experience in enterprise deployments of the platform are preferred

Job Responsibility

Lead the design and implementation of a Databricks-centric multi-agent processing engine
Design governed data ingestion, storage, and real-time processing workflows using Delta Lake, Structured Streaming, and Databricks Workflows
Own the model lifecycle with MLflow, including experiment tracking, registry/versioning, A/B testing, drift monitoring, and automated retraining pipelines
Architect low latency model serving endpoints with auto-scaling and confidence-based routing for sub-second agent decisioning
Establish robust data governance practices with Unity Catalog, including access control, audit trails, data quality, and compliance
Drive performance and cost optimization strategies, including auto-scaling, spot usage, and observability dashboards
Define production release strategies (blue-green), monitoring and alerting mechanisms, operational runbooks, and Service Level Objectives (SLOs)
Partner with engineering, MLOps, and product teams to deliver human-in-the-loop workflows and dashboards
Lead change management, training, and knowledge transfer while managing a parallel shadow processing path
Plan and coordinate phased delivery, success metrics, and risk mitigation

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Generous referral bonuses (up to PLN6,000)
Additional revenue sharing opportunities
Ongoing guidance from dedicated Team Manager
Tailored technical mentoring from assigned technical leader
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Fulltime

Senior Engineering Manager - AI

We are seeking a Senior Engineering Manager (Level 5) to lead a high-performing ...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

15+ years of professional experience in software engineering
At least 4+ years in engineering leadership roles
Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms
Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS)
Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams
Strong architectural design and system-thinking abilities
Excellent communication skills with ability to influence cross-functional stakeholders
Passion for sustainability, decarbonization, and using technology to create positive climate impact
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy)
Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams
Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production
Foster a culture of high performance, ownership, and technical excellence
Establish engineering best practices in testing, observability, reliability, and CI/CD
Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals
Represent AI across the company, articulating technical trade-offs and championing innovation

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Lead Machine Learning Engineer

As a Lead Machine Learning Engineer, you will be the hands-on technical owner of...

Location

India , Mumbai

Salary:

Not provided

myGwork - LGBTQ+ Business Community

Expiration Date

Until further notice

Requirements

Bachelor's, Master's, or PhD in Computer Science, Mathematics, Data Science, or a related field
5+ years of experience in the ML Engineering and Data Science field, with a focus on LLM and GenAI technologies, particularly in data collection and unstructured data processing
1+ years of experience in technical lead position
Strong expertise in NLP and machine learning, with hands-on experience in classifiers, large language models (LLMs), Model Context Protocol (MCP), Agentic AI, and other advanced NLP techniques
Extensive experience with data pipeline and messaging technologies such as Apache Kafka, Airflow, and cloud data platforms (e.g., Snowflake)
Expert-level proficiency in Python, SQL, and other relevant programming languages and tools
Proficiency in Amazon Web Services (AWS) and Google Cloud Platform (GCP)
Strong understanding of cloud-native technologies and containerization (e.g., Kubernetes, Docker) with experience in managing these systems globally
Demonstrated ability to solve complex technical challenges and deliver scalable solutions
Excellent communication skills with a collaborative approach to working with global teams and stakeholders

Job Responsibility

Convert business goals into a clear AI/ML roadmap for data acquisition, extraction, enrichment, and measurable outcomes
Architect and ship scalable ML/NLP/LLM (RAG, embeddings, reranking, Agentic AI, MCP) services with high reliability and efficiency
Mentor engineers and data scientists through design/code reviews, setting technical standards and elevating craftsmanship
Build and integrate classifiers, transformers, LLMs, and evaluators that process and categorize unstructured data at scale
Design, operate, and optimize high-throughput collection pipelines with robust orchestration, messaging, storage, and SLAs
Partner with Product, Data Collection Engineering, Platform/SRE, and Security to turn ambiguous needs into phased, observable deliveries
Pilot and productionize advances in GenAI, Agentic AI, RAG, and MCP to improve quality, speed, and cost
Enforce data governance, privacy, and model transparency with least-privilege IAM, secrets management, and auditability
Apply Agile/Lean/Fast-Flow practices to reduce cycle time, raise quality, and remove toil via automation
Deliver cloud-native solutions on AWS and GCP using Docker/Kubernetes, autoscaling, and progressive delivery patterns

What we offer

Hybrid work environment (four days in-office each week in most locations)
A range of other benefits are also available to enhance flexibility as needs change
Tools and resources to engage meaningfully with your global colleagues

Fulltime

Senior AI Engineer

In the 1980s, Microsoft Office revolutionized global industries and empowered th...

Location

United States

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related technical field AND 4+ years technical engineering experience including some production experience building applications with LLMs and/or deploying ML/LLM/agent systems with coding in languages including, but not limited to, Python, Typescript/Javascript, C, C++, or C#

Job Responsibility

Architect, prototype, and lead the iteration on AI agent experiences that reimagine Office workflows, rapidly validating feasibility, UX, and technical approaches, while pushing the frontier of the agent-driven productivity.
Drive the delivery of features by operating at the true intersection of AS and SWE, where a single AI engineer can unlock disproportionate impact by translating model capability and product intent into intelligent, production-ready systems.
Design evaluation frameworks and observability tools to monitor real-time agent health, investigate customer feedback, and build continuous learning systems for end-to-end AI workflows.
Invent and lead industry-defining multimodal AI experiences across Microsoft 365 by exploring new interaction paradigms and robust system architectures that unlock and define natural user interface between human and AI.
Cultivate a culture of technical excellence and continuous learning. Proactively identify and drive systemic improvements to build processes and engineering standards, while mentoring junior coworkers to elevate the technical bar of the team.
Embody Microsoft culture and values.

Fulltime

Lead Process Engineer – Observe to Agent Delivery

Wells Fargo

Location:
United States , Charlotte ▼
Dallas

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 13, 2026

Expiration:
February 15, 2026

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