Sr. AI/ML Engineer Job at Realign (San Francisco)

Sr. Data Engineer - Snowflake

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team ...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, data warehousing, or data architecture
3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.)
Strong SQL and Python skills, with production experience using dbt
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.)
Prior experience in a consulting or client-facing delivery role
Excellent communication skills, with the ability to collaborate across technical and business stakeholders
SnowPro Core Certification required (or willingness to obtain upon hire)
advanced Snowflake certifications preferred

Job Responsibility

Design and build scalable, secure, and cost-effective data solutions in Snowflake
Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services
Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans
Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs)
Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake
Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks
Contribute to internal accelerators, frameworks, and proofs of concept
Mentor junior engineers and support knowledge sharing across the team

What we offer

Flexible Time Off Policy
Eligibility for Health Benefits
Retirement Plan with Company Match
Training and Certification Reimbursement
Utilization Based Incentive Program
Commission Incentive Program
Referral Bonuses
Work from Home

Fulltime

Sr. Principal Engineer, Interact Analytics Experiences

We’re looking for a Principal Engineer to lead Highspot’s Analytics Platform cap...

Location

United States , Seattle

Salary:

277391.00 - 342391.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

Proven Experience – 10+ years in software engineering with deep experience in analytics platforms, query engines, OLAP databases, and frontend analytics frameworks
Expertise in Analytics & Query Processing – Strong hands-on knowledge of OLAP databases, query transpilation, analytics frameworks, and frontend-driven analytics experiences
Expertise in Frontend Analytics & Component Architecture – Experience designing and developing reusable, performant, and scalable frontend components for interactive analytics experiences. Deep understanding of modern frontend frameworks, component-based architecture, and state management patterns to enable dynamic, data-rich visualizations
Architectural Leadership – Experience designing and implementing scalable analytics-serving platforms and interactive query experiences with frontend and backend considerations
Strong Programming and Data Skills – Proficiency in SQL, TypeScript, React, and modern transpilation techniques, with a solid understanding of query optimization, frontend component reusability, and performance tuning
Cloud-Native & Infrastructure Knowledge – Familiarity with AWS, Kubernetes, and Terraform/Pulumi, with a focus on analytics services and frontend scalability
Technical Leadership – Proven ability to drive cross-functional technical initiatives and influence platform decisions across both backend and frontend architectures
Analytical Mindset – Passion for solving complex problems in interactive analytics, frontend visualization, query processing, and composable reporting frameworks
High Standards for Reliability and Performance – Commitment to ensuring high query performance, frontend responsiveness, availability, and data accuracy

Job Responsibility

Architect and Scale the Analytics Platform – Design and evolve the key parts of our system including database/query optimizations, backend scalability, and frontend framework improvements to support self-serve analytics and real-time insights
Lead Frontend and Backend Analytics Excellence – Ensure the Analytics Platform provides a scalable, efficient, and well-governed foundation for serving analytical queries and reports while advancing the frontend component architecture to support interactive analytics experiences
Own End-to-End Analytics Flow – Guide the transformation, querying, and visualization of analytics data, optimizing for performance, usability, and seamless integration across backend and frontend systems
Evolve Role-Based Access Control (RBAC) for Data Governance – Enhance our RBAC framework to ensure the right people have access to the data they need while maintaining security, compliance, and performance across the Analytics Platform
Enable Advanced Visualization & Reporting – Partner with Product and Engineering teams to evolve and optimize our ad-hoc data visualization and reporting framework, ensuring robust composable components with efficient state management and interaction logic
Drive Best Practices and Technical Standards – Establish and evangelize patterns for query optimization, schema evolution, frontend component reusability, and analytics-driven UI design
Lead and Mentor – Act as a technical leader and mentor for engineers across the team, providing deep technical guidance on analytics, query performance, frontend development, and reporting challenges
Cross-Team Collaboration – Partner with engineering teams across product, backend, frontend, Data-Platform and AI/ML to ensure a seamless, high-performing analytics experience
Operational Excellence – Define and drive SLA, availability, and performance objectives, ensuring the Analytics Platform meets the needs of our Analytics and Insights vision

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Sr. Technical AI Enablement Engineer

ModelOp is seeking a highly skilled Sr Technical AI Enablement Engineer to join ...

Location

United States , Utah, Chicago

Salary:

Not provided

ModelOp

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
10+ years of experience in technology-based consulting, technical enablement, or related roles
Experience in custom software delivery and complex system troubleshooting
Exceptional presentation skills for all audiences: from senior business executives to data scientists, architects, and governance teams
Proven ability to translate loose AI governance requirements into actionable implementation details across multiple workstreams
Experience with AI tools, platforms, and model development processes, along with a solid understanding of how governance and compliance mechanisms apply at each stage of the AI model lifecycle
Familiarity with AI regulations/guidelines (e.g. EU AI Act, OSFI E-23, NIST AI-RMF), ideally in specific verticals (e.g. SEC/OCC, FDA)
Strong experience in working with technical teams to embed governance processes into an existing model lifecycle

Job Responsibility

Implementation Planning: Lead customers in planning the implementation of ModelOp within the customer’s existing AI program
Technical Troubleshooting: When customer issues are raised, take lead on triaging the issue, and work with the customer technical team to obtain information (logs, etc.), conduct initial troubleshooting, and identify the next course of action
Process Design: Collaborate with customer teams to translate the customer’s AI governance policies and procedures into actionable and automated workflows within ModelOp, whilst simultaneously advising on best practices from other customers and experience
Inventory & Reporting Configuration: lead customers in designing the appropriate customizations for the metadata structure, use case forms, and dashboards within ModelOp to align with their inventory and reporting requirements
Testing & Monitoring Enablement: lead customer sessions in identifying and configuring the right set of tests and monitors for their specific AI use cases / models
Customer Enablement: Work closely with the customer to drive consumption of ModelOp software, by onboarding new AI use cases in the platform
Training & Support: Lead customer workshops, training sessions, and knowledge transfer activities to ensure customer teams understand and can effectively use ModelOp for their daily AI governance work
Documentation: Document processes, configurations, and troubleshooting steps for both technical and non-technical audiences
Learning: Stay updated on the latest developments in AI governance and related technologies to guide customers and inform product enhancements

What we offer

ModelOp offers full benefits, including a retirement package and comprehensive health insurance

Fulltime

Sr. Software Development Engineer

You will safeguard the quality of our AI and GenAI features by evaluating model ...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

4+ years of experience as a Software Development Engineer in AI/ML systems
Strong coding skills in Python (evaluation pipelines, data processing, metrics computation)
Hands-on experience with evaluation frameworks (Ragas or equivalent)
Knowledge of vector embeddings, similarity search, and RAG evaluation
Familiarity with evaluation metrics (precision, recall, F1, relevance, hallucination detection)
Understanding of LLM-as-a-judge evaluation approaches
Strong analytical and problem-solving skills
ability to combine human judgment with automated evaluations
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
Strong English written and verbal communication skills

Job Responsibility

Evaluation Frameworks – Develop reusable, automated evaluation pipelines using frameworks such as Raagas
integrate LLM-as-a-judge methods for scalable assessments
Golden Datasets – Build and maintain high-quality benchmark datasets in collaboration with subject matter experts
AI Output Validation – Evaluate results across text, documents, audio, and video, using both automated metrics and human-in-the-loop judgment
Metric Evaluation – Implement and track metrics such as precision, recall, F1 score, relevance scoring, and hallucination penalties
RAG & Embeddings – Design and evaluate retrieval-augmented generation (RAG) pipelines, vector embedding similarity, and semantic search quality
Error & Bias Analysis – Investigate recurring errors, biases, and inconsistencies in model outputs
propose solutions
Framework & Tooling Development – Build tools that enable large-scale model evaluation across hundreds of AI agents
Cross-Functional Collaboration – Partner with ML engineers, product managers, and QA peers to integrate evaluation frameworks into product pipelines

Fulltime

Sr. Engineer - Performance AI/ML Network Deployment Engineering

The Principal Engineer DC GPU AI/ML Advanced Forward Deployment and Systems Engi...

Location

United States , Santa Clara

Salary:

187280.00 - 280920.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Expertise in networking and performance optimization for large-scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence, scalability improvements
Solid, hands-on expertise in at least one or more of 3 domains, namely compute, network, storage
Demonstrated leadership in network architecture, hands on experience in RoCEv2 Design, VXLAN-EVPN, BGP, and Lossless Fabrics
Deep experience in working with large customers such as Cloud Service Providers and global enterprise customers
Proven leadership in engaging customers with diverse technical disciplines in avenues such as Proof of Concept, Competitive evaluations, Early Field Trials etc.
Direct experience in working with large customers and can operate with sense of urgency, own the problems and resolve it
Extensive experience in Python, Linux, Kernel modules, Application libraries
Proven ability to influence design and technology roadmaps, leveraging a deep understanding of datacenter products and market trends
Extensive hands-on Network deployment expertise and proven track record of delivering large projects on time. Cisco, Juniper or Arista Experience is required
Direct, co-development/deployment experience in working with strategic customers/partners in bringing solutions to market

Job Responsibility

Collaborate with strategic customers on scalable designs involving compute, networking, storage environment, work with industry partners, Internal teams to accelerate the deployment, adoption of various AI/ML models
Engage system-level triage and at-scale debug of complex issues across hardware, firmware, and software, ensuring rapid resolution and system reliability
Drive the ramp of Instinct-based large scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster level, leveraging the best in network architecture for AI/ML workloads
Enhance tools and methodologies for large-scale deployments to meet customer uptime goals and exceed performance expectations
Engage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins
Provide domain specific knowledge to other groups at AMD, share the lessons learnt to drive continuous improvement
Engage with AMD product groups to drive resolution of application and customer issues
Develop and present training materials to internal audiences, at customer venues, and at industry conferences

Sr. Director, Software Engineering (Big Data, AI/ML)

As a Senior Director overseeing the technical integration of one of the largest ...

Location

United States , Chicago; McLean; San Francisco; New York

Salary:

286200.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 9 years’ experience in software development
At least 7 years’ experience in people management

Job Responsibility

Lead, manage and grow multiple teams of product focused software engineers
Mentor and guide the professional and technical development of engineers on your team.
Work with product managers to understand desired application capabilities and testing scenarios
Continuously improve software engineering practices
Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies
Lead the craftsmanship, availability, resilience, and scalability of your solutions
Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community
Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity
Work across to improve the velocity of your and other teams
Lead efforts to deploy new and existing applications into AWS environments

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Sr. Forward Deployed Engineer - Private Cloud, Data & AI Enterprise Solutions

As a Sr. Forward Deployed Engineer (Sr. FDE) at Rackspace Technology, you will b...

Location

United States

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or related field
10+ years in software engineering, data engineering, or AI/ML delivery
at least 4+ years in customer-facing or field roles
Proven track record in building and deploying AI/ML applications in production at enterprise scale
Deep full-stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases
Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks
Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns
Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures
Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines
Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration

Job Responsibility

Embed with strategic enterprise customers to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site
Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications
Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks
Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization
Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes)
Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks
Develop and fine-tune LLM/SLM solutions
implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI)
Ship with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management
Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production

Fulltime

Sr Machine Learning Engineer

We are seeking a Sr Machine Learning Engineer—Amgen’s most senior individual-con...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

3-5 years in AI/ML and enterprise software
Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
Proficiency in Python and Java
containerisation (Docker/K8s)
cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives
Exceptional stakeholder management
can translate complex technical concepts into concise, outcome-oriented narratives

Job Responsibility

Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
Optimise performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantisation/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behaviour analytics—enabling rapid diagnosis and continuous improvement of live models and applications
Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelise best practices that raise engineering velocity across squads
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs

Sr. AI/ML Engineer

Realign

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 21, 2026

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

Similar Jobs for Sr. AI/ML Engineer

Sr. Data Engineer - Snowflake

Sr. Principal Engineer, Interact Analytics Experiences

Sr. Technical AI Enablement Engineer

Sr. Software Development Engineer

Sr. Engineer - Performance AI/ML Network Deployment Engineering

Sr. Director, Software Engineering (Big Data, AI/ML)

Sr. Forward Deployed Engineer - Private Cloud, Data & AI Enterprise Solutions

Sr Machine Learning Engineer

Sr. AI/ML Engineer

Realign

Location:United States , San Francisco

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:March 21, 2026

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

Similar Jobs for Sr. AI/ML Engineer

Sr. Data Engineer - Snowflake

Sr. Principal Engineer, Interact Analytics Experiences

Sr. Technical AI Enablement Engineer

Sr. Software Development Engineer

Sr. Engineer - Performance AI/ML Network Deployment Engineering

Sr. Director, Software Engineering (Big Data, AI/ML)

Sr. Forward Deployed Engineer - Private Cloud, Data & AI Enterprise Solutions

Sr Machine Learning Engineer

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
March 21, 2026