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

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

Senior Software Engineer, AI

As a Senior AI Engineer on our Core AI team, you will be a cornerstone of FloQas...

Location

India , Pune

Salary:

Not provided

FloQast

Expiration Date

Until further notice

Requirements

6+ years of professional software engineering experience
3+ years focused on building backend for production applications
Mastery of Python
Familiarity with some AI application frameworks, context engineering, and scalable system design for AI products
Expertise in designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
Proven ability to lead tech product initiatives, establish technical standards and communicate complex system designs to both technical and business stakeholders

Job Responsibility

Architect and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
Design and implement our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
Master context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance

Fulltime

New

Lead Observability Engineer

Lead Observability Engineer role focusing on the Elastic Observability Platform,...

Location

India , Hyderabad

Salary:

Not provided

Blue Yonder

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, MIS, or equivalent experience
7–10+ years of experience in observability engineering, SRE, monitoring platform ownership, or infrastructure operations
Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats/Elastic Agent, APM)
Strong architectural knowledge of cloud (Azure/AWS) and hybrid observability patterns
Experience leading observability for infrastructure, cloud platforms, network systems, Kubernetes, and Microsoft 365
Proven experience designing monitoring for SaaS platforms (Workday, Salesforce, ServiceNow)
Advanced scripting/automation experience (Python, PowerShell, Bash)
Strong knowledge of API integrations, data pipelines, and log-flow engineering
Experience leading incident diagnostics and delivering visibility for RCA and operational improvement
Strong analytical, architectural, and troubleshooting skills with a platform-owner mindset

Job Responsibility

Receives work assignments through the ticketing system or from senior leadership
Provides Tier-4 engineering expertise, platform ownership, and technical leadership for all observability capabilities across hybrid cloud, on-premises, and SaaS environments
Leads the design, architecture, and maturity of the enterprise observability ecosystem with a primary focus on the Elastic Observability Platform
Drives the enterprise strategy for logging, metrics, traces, synthetics, and alerting—including governance, standardization, and performance optimization
Partners closely with Cloud, Infrastructure, Security, Enterprise Applications, and SRE leadership to define observability frameworks
Ensures observability platforms meet enterprise requirements for security, performance, availability, compliance, and scalability
Oversees monitoring implementations for key SaaS applications including Workday, Salesforce, ServiceNow, and Microsoft 365
Provides guidance, mentorship, and direction to observability engineers, SREs, and operational teams
Acts as a strategic advisor during major incidents by providing real-time diagnostics, correlation insights, and driving RCA improvements
Required to provide on-call support during off-hours on weekdays, weekends, and holidays on a rotating basis

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

New

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

Vice President, Data Platform Engineering

Mastercard is seeking a Vice President, Data Platform Engineering, responsible f...

Location

United States of America , O’Fallon, MO; Arlington, VA

Salary:

200000.00 - 368000.00 USD / Year

Mastercard

Expiration Date

Until further notice

Requirements

Hands-on experience in data engineering, data platform strategy, or a related technical domain
Proven experience leading global data engineering or platform engineering teams
Proven experience in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop
Strong experience with one or more of data pipeline tools (Nifi, Airflow, dbt, Spark, Kafka, Dagster, etc.) and distributed data processing at scale
Proficiency in Python, SQL, and data ecosystems (Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake, etc.)
Deep understanding of data modeling, metadata management, and data governance principles
Proven success in leading technical teams and managing complex, cross-functional projects
Excellent communication skills, with the ability to tailor technical concepts to executive, operational, and technical audiences
Expertise and ability to lead technical decision-making considering scalability, cost efficiency, stakeholder priorities, and time to market
Proven track leading high-performing teams with experience leading and coaching director level reports and experienced individual contributors

Job Responsibility

Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms
Architect and lead the development of a Multi-Agent ETL Platform for batch and event streaming, integrating AI agents to autonomously manage ETL tasks such as data discovery, schema mapping, and error resolution
Define and implement data ingestion, transformation, and delivery pipelines using scalable frameworks (e.g., Apache Airflow, Nifi, dbt, Spark, Kafka, or Dagster)
Leverage LLMs, and agent frameworks (e.g., LangChain, CrewAI, AutoGen) to automate pipeline management and monitoring
Ensure robust data governance, cataloging, versioning, and lineage tracking across the ETL platform
Define project roadmaps, KPIs, and performance metrics for platform efficiency and data reliability
Establish and enforce best practices in data quality, CI/CD for data pipelines, and observability
Collaborate closely with cross-functional teams (Data Science, Analytics, and Application Development) to understand requirements and deliver efficient data ingestion and processing workflows
Establish and enforce best practices, automation standards, and monitoring frameworks to ensure the platform’s reliability, scalability, and security
Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions

What we offer

Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

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

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover, validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Senior Lead Process Engineer – Observe to Agent

Wells Fargo

Location:
United States , Charlotte ▼
Dallas

Category:
IT - Software Development

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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Senior Lead Process Engineer – Observe to Agent

Wells Fargo

Location:United States , Charlotte ▼Dallas

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:February 13, 2026

Expiration:February 15, 2026

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

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Location:
United States , Charlotte ▼
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Category:
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Contract Type:
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Job Posted:
February 13, 2026

Expiration:
February 15, 2026