Our Story At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.” Our Benefits With a comprehensive total rewards package, Alight offers programs and plans that support your mind, body, wallet, and life. Benefits include health, dental and vision coverages starting Day One. Additionally, Alight colleagues enjoy wellbeing programs, retirement plans with contribution matching, generous time off, parental leave, continuing education, and career growth opportunities – all within a thriving global organization. Flexible Working So that you can be your best at work and home, we consider flexible working arrangements wherever possible. Alight has been a leader in the flexible workspace and “Top 100 Company for Remote Jobs” 6 years in a row. Great Place To Work Thanks to the work of every colleague, Alight has received multiple awards of recognition including Great Places to Work” for the past 7 years and Fortune’s “Best Companies to Work For.” To learn more about our company culture and awards Click Here. About the Role Alight Solutions is seeking a developer experienced in Robotics Process Automation and Intelligent Document Processing along with AI to join the Alight AI Automation Team. Responsibilities - Work on the Federal Automation Scrum Team within the Automation COE – have experience in Agile - Scrum - Have experience with RPA to implement Automation Solutions, design, develop, test, and support Automation Anywhere Bots - Good Hands on experience on AWS Core services - Lambdas, Step Functions, S3, Textract, Comprehend ,SQS, SNS , Event Bridge, Cloud Watch, RDS, EC2 - Programming in Python in AWS , Python app development - Strong on usage of GIT, Data Modelling , Strong in DBs - Involvement in Terraform development and deployment within AWS Cloud - Collaborate with team members and project stakeholders to integrate automated solutions - Troubleshooting of end-to-end automated workflows in production - Have an understanding of the AWS Architecture best practices Requirements - Bachelor’s degree in computer science, Information Systems, Mathematics, or engineering - 5+ years’ experience in software development - Automation Anywhere A360 Certified Advanced RPA Professional - AWS Certified Developer / Solution Architect - 2+ years working with Automation Anywhere - 3+ years working with any of the following AWS Services: Textract, Comprehend, Rekognition - Experience developing in Python - Experience with Intelligent Document Processing or Optical Character Recognition tool or service - Familiarity with Terraforms - Organized and able to manage multiple Virtual Machines and Service Accounts - Experience with Jira By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test. You will be notified during the hiring process which checks are required by the position. Alight requires all virtual interviews to be conducted on video. Our commitment to Inclusion We celebrate differences and believe in fostering an environment where everyone feels valued, respected, and supported. We know that diverse teams are stronger, more innovative, and more successful. At Alight, we welcome and embrace all individuals, regardless of their background, and are dedicated to creating a culture that enables every employee to thrive. Join us in building a brighter, more inclusive future. As part of this commitment, Alight will ensure that people with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact alightcareers@alight.com. Equal Opportunity Policy Statement Alight is an Equal Employment Opportunity employer and does not discriminate against anyone based on sex, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state, or local law. In addition, we take affirmative action to employ disabled persons, disabled veterans, and other covered veterans. Alight provides reasonable accommodations to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances, unless doing so would result in undue hardship. Applicants for employment may request reasonable accommodations/modifications by contacting their recruiter. Authorization to work in the Employing Country Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not, now or in the future, require sponsorship of a visa for employment authorization in the Employing Country and with Alight. Note, this job description does not restrict management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units. #LI-Remote P&T2026 We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. Salary Pay Range Minimum : 135,000.00 USDMaximum : 165,000.00 USD Pay Transparency Statement: Alight considers a variety of factors in determining whether to extend an offer of employment and in setting the appropriate compensation level, including, but not limited to, a candidate’s experience, education, certification/credentials, market data, internal equity, and geography. Alight makes these decisions on an individualized, non-discriminatory basis. Bonus and/or incentive eligibility are determined by role and level. Alight also offers a comprehensive benefits package; for specific details on our benefits package, please visit: Wellbeing and Benefits Selector Page - Alight DISCLAIMER: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units. Alight Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, pregnancy, childbirth or related medical condition, veteran, marital, parental, citizenship, or domestic partner status, or any other status protected by applicable national, federal, state or local law. Alight Solutions is committed to a diverse workforce and is an affirmative action employer.

• Build and operate AZX’s AI-powered GTM infrastructure: CRM, marketing automation, campaign tools, analytics, and reporting • Create AI workflows for prospect intelligence—company profiling, exec move tracking, job posting signals, RFP discovery, news monitoring, and newsletter parsing • Design and maintain sales enablement systems: meeting transcript pipelines, AI-generated briefs, proposal drafts, and self-service content creation tools for the team • Manage and curate the repository of GTM materials, keeping collateral current and accessible • Support outreach and campaigns with AI-generated targeting, personalization, and content • Build vibe-coded interactive experiences and content for marketing and thought leadership • Support community and content efforts with data, automation, and tooling • Help with event data capture, recruiting support, and internal automation as needed • Track and report on GTM metrics: pipeline, ABM scorecard movement, funnel conversion, campaign performance

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. About Apollo.ioApollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides an end-to-end go-to-market platform that enables sales and marketing teams to source prospects from our database of 210 million B2B contacts and 35 million companies, execute personalized email outreach campaigns, automate booking flows, and manage deals—all within one unified platform. Apollo raised a Series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. We are AI NativeApollo.io is an AI-native company built on a culture of continuous improvement. We're on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Your Role & MissionAs a Senior AI Engineer on our AI Engineering team, you will be responsible for building and productionizing advanced AI systems powered by Large Language Models (LLMs) and intelligent agents. You'll work on critical Apollo capabilities including our AI Assistant, Autonomous AI Agents, Deep Research Agents, Conversational Assistant, Semantic Search, Search Personalization, and AI Power Automation features that directly impact millions of users' productivity. The mission of our AI teams is to leverage Apollo's massive scale data and cutting-edge AI to understand and predict user behaviors, personalize experiences, and optimize every stage of the customer journey through intelligent automation. What You'll Be Working OnAI Assistant & Agent Systems - Agent Architecture & Implementation: Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows - Context Management: Develop systems that maintain conversational context across complex multi-turn interactions - LLM and Agentic Platforms: Build scalable large language model and agentic platforms that enable widespread adoption and viability of agent development within the Apollo ecosystem - Backend Systems: Build back-end systems necessary to support the agents. - AI features: Conversational AI, Natural Language Search, Personalized Email Generation and similar AI features Classical AI/ML (Optional Focus) - Search Scoring & Ranking: Develop and improve recommendation systems and search relevance algorithms - Entity Extraction: Build models for automatic company keywords, people keywords, and industry classification - Lookalike & Recommendation Systems: Create intelligent matching and suggestion engines Key Responsibilities - Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements - Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows - Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques - System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services - Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards - Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios - Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions Required QualificationsCore AI/LLM Experience (Must-Have) - 8+ years of software engineering experience with a focus on production systems - 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs - Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools) - Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation - Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques Technical Engineering Skills - Python Proficiency: Expert-level Python skills for production AI systems - Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures - LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks - API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities - Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure) Quality & Evaluation Focus - Testing & Evaluation: Experience implementing rigorous evaluation frameworks for LLM systems including accuracy, safety, and performance metrics - A/B Testing: Understanding of experimental design for AI system optimization - Monitoring & Reliability: Experience with production monitoring, alerting, and debugging complex AI systems - Data Pipeline Management: Experience building and maintaining scalable data pipelines that power AI systems What Makes a Great CandidateProduction-First Mindset - You've built AI systems that real users depend on, not just demos or research projects - You understand the difference between a working prototype and a production-ready system - You have experience with user feedback, iterative improvements, and feedback systems Technical Depth with Business Impact - You can design end-to-end systems, including back-end systems, asynchronous workflows, LLMs, and agentic systems - You understand the cost-benefit trade-offs of different AI approaches - You've made decisions about when to use different LLM providers, fine-tuning vs prompting, and architecture choices Evaluation & Quality Excellence - You implement repeatable, quantifiable evaluation methodologies - You track performance across iterations and can explain what makes systems successful - You prioritize safety, reliability, and user experience alongside capability Adaptability & Learning - You stay current with the rapidly evolving LLM landscape - You can quickly adapt to new models, frameworks, and techniques - You're comfortable working in ambiguous problem spaces and breaking down complex challenges Working at ApolloWe are a remote-first inclusive organization focused on operational excellence. Our way of working ensures clear expectations and an environment to do your best work with ample reward. At Apollo, we're driven by a shared mission: to help our customers unlock their full revenue potential. That's why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we're all for one, meaning you'll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. Our AI Impact at ApolloJoin a team that's already making significant impact: - Our AI Assistant helps sales teams automate research, scoring, and outreach processes - Assisted Prompting Mode allows users to leverage AI power-ups without being prompt engineering experts - Our AI email assistant processes hundreds of thousands of words monthly for Professional plan users - We help users "book more meetings in less time by automating research, scoring, outreach, & more with embedded AI sales assistants" If you're looking for a place where your AI engineering work directly impacts millions of users, where you can push the boundaries of what's possible with LLMs and agents, and where your career can thrive in the AI-native future—Apollo is the place for you. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $195,000—$298,000 USD Tier 2 Pay Range (All other US Locations) $180,000—$250,000 USD We are AI NativeApollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You’ll Love Working at ApolloAt Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more here!

About the Role SolutionAI is Contextual's intelligence product: the layer that helps us sell, design, build, and operate better solutions over time. It depends on a compounding knowledge backbone that gets richer with every engagement, every implementation, and every artifact our teams produce. As SolutionAI Intelligence Lead, you will own that backbone. Your job is to turn platform knowledge, delivery patterns, domain expertise, and client context into a structured intelligence product that AI can use directly. This is not a traditional documentation role. The goal is not to publish a better docs site. The goal is to build an intelligence layer that helps AI and humans find, reason over, and apply the right Contextual knowledge at the right moment. You will work at the center of engineering, solution architecture, and product. That means building the systems and structures that acquire and govern knowledge at scale, but also understanding the platform and the solution patterns deeply enough to recognize what is worth codifying in the first place. We are looking for someone who can extract what strong practitioners know implicitly, preserve the nuance that makes it valuable, and turn it into reusable intelligence. What You'll Own 1. The Context Graph - Define and evolve the structure of Contextual's intelligence layer across Platform Intelligence, Domain Intelligence, and Client-Specific Context. - Create schemas, relationships, metadata, and quality standards that make knowledge AI-addressable, traversable, and useful for inference rather than just searchable. - Ensure the intelligence layer captures not only what exists, but why certain approaches work, where patterns apply, and what tradeoffs matter. - Maintain a tiered access model across broadly reusable knowledge, proprietary Contextual IP, client-scoped context, and assets created for client value. 2. Intelligence Acquisition and Operations - Design and run the ingestion and transformation systems that convert source material into usable intelligence: transcripts, solution artifacts, platform configurations, SOWs, code-adjacent technical content, implementation notes, and delivery outputs. - Make intelligence capture as derivative as possible from existing work, so the system improves as a byproduct of delivery rather than relying on constant manual curation. - Operate the retrieval, graph, indexing, enrichment, and quality workflows that make this intelligence reliable in production. - Establish governance for versioning, lineage, freshness, quality signals, and lifecycle management. 3. Pattern Extraction from Delivery Work - Work closely with cross-functional teams to identify the patterns that make solutions successful. - Formalize recurring architectures, implementation approaches, operating procedures, and domain-specific heuristics into reusable intelligence assets. - Recognize the difference between a one-off tactic, an emerging pattern, and something stable enough to operationalize broadly. - Help Contextual preserve institutional knowledge that currently lives in meetings, heads, and scattered artifacts. 4. Enablement for AI and Solution Engineering - Ensure the intelligence layer directly improves how Solution Engineers and AI systems understand existing solutions, onboard into new work, and answer technical questions. - Partner with product and engineering to expose this intelligence through first-party AI surfaces, internal tools, and external development environments. - Help move Contextual from ad hoc knowledge access to a more governed, repeatable, AI-native model of delivery enablement. Who You Are - Deeply technical, even if you are not primarily a software engineer. You can read code, understand APIs, reason about system architecture, and follow how platform primitives compose into complete solutions. - Strong in information architecture, semantic systems, knowledge representation, or a closely related discipline. You know how to turn messy real-world inputs into structured intelligence. - Hands-on with embeddings, RAG, retrieval systems, semantic search, knowledge graphs, ontologies, or adjacent AI infrastructure. - Passionate about AI tooling and how it changes the way great work gets done. You actively use the latest AI tools, integrate them into your own workflows, and apply AI day to day to amplify the quality and speed of your work. - Strong at extracting implicit expertise from practitioners and preserving the nuance that makes it valuable. - Comfortable working in ambiguity and creating structure where no mature playbook exists yet. - Clear communicator who can work across product, engineering, solution delivery, and leadership. Valuable Experience - Experience in a platform company, solution delivery organization, or technical consulting environment where repeatable patterns drive better outcomes. - Experience building or managing knowledge graphs, semantic layers, AI-ready documentation systems, or internal intelligence products. - Familiarity with workflow automation, iPaaS, low-code/no-code systems, or the kinds of platforms where solution patterns compound. - Experience supporting pre-sales, solution design, implementation teams, or technical enablement through reusable knowledge systems. - Experience with client-scoped knowledge, governance, or packaging internal know-how into client-facing value. Why This Role Matters Contextual is investing in a future where AI materially increases delivery leverage. That only works if the underlying intelligence is deep, structured, current, and usable. The person in this seat will help build the intelligence product underneath SolutionAI: a compounding asset that improves delivery quality, speeds onboarding, increases reuse, strengthens proprietary IP, and creates better AI experiences across the company and for every client. This is a foundational role for how Contextual turns experience into durable advantage. What We Offer - Competitive salary and benefits package. - Unlimited vacation where we encourage you to take it - Flexible working hours and remote work options. - Opportunities for professional growth and development. - Collaborative and inclusive work environment. - The chance to work on innovative projects with a talented team.