Role Summary Our client, an employee-owned manufacturing organization , is seeking an IT & OT Software and Applications Manager to lead software development and application teams across both IT and operational technology (OT) environments. This role oversees the design, development, and support of ERP systems, custom applications, and data platforms , ensuring alignment with business goals and operational efficiency. The position manages a cross-functional team of developers, data scientists, and application specialists and plays a key role in advancing technology capabilities, including AI-driven development tools (link removed)> This position is also part of a succession plan for future IT leadership , offering long-term growth potential. Key Responsibilities Lead, mentor, and manage a team of software developers, data scientists, analysts, and product owners (approximately 1525+ team members). Oversee development and support of ERP systems (JD Edwards preferred), custom applications, and data platforms (link removed)> Collaborate with business and technical stakeholders to define requirements and deliver scalable, value-driven solutions. Manage software delivery using agile methodologies (Scrum, Kanban), ensuring timelines, budgets, and quality standards are met. Establish and track team performance metrics (KPIs/OKRs) and system effectiveness. Drive system support, troubleshooting, and end-user training initiatives (link removed)> Ensure adherence to security, compliance, and data privacy standards (link removed)> Promote adoption of modern development practices , including AI-enabled tools and automation. Stay current on emerging technologies and recommend improvements to systems and processes. Required Qualifications Bachelors degree in Information Technology, Software Engineering, or related field (or equivalent experience). 710 years of experience in software development or application management. 35 years of experience managing teams , including teams of 1525+ professionals. Experience with (link removed) and JavaScript development environments (link removed)> Experience with ERP systems (JD Edwards preferred). Experience in a manufacturing environment required. Strong understanding of agile methodologies and secure coding practices (link removed)> Experience leading or supporting data science or analytics teams , including exposure to machine learning and data governance. Preferred Qualifications Experience with DevOps practices , CI/CD pipelines, and automated testing. Experience leveraging AI development tools to improve productivity and software outcomes. Exposure to enterprise architecture and system integration across IT and OT environments (link removed)> Compensation & Work Model Compensation: Tiered structure based on experience and ability to drive advanced technology initiatives. Bonus: Target bonus of approximately 10% , based on a rolling multi-year salary structure. Equity/Ownership: Participation in an Employee Stock Ownership Plan (ESOP) ( 15% annual contribution). Work Model: On-site role. Growth Opportunity Identified as a successor role for future IT leadership within approximately 1218 months. Opportunity to shape and modernize IT/OT systems and software strategy in a manufacturing environment.
07/31/2026
Role Summary Our client, an employee-owned manufacturing organization , is seeking an IT & OT Software and Applications Manager to lead software development and application teams across both IT and operational technology (OT) environments. This role oversees the design, development, and support of ERP systems, custom applications, and data platforms , ensuring alignment with business goals and operational efficiency. The position manages a cross-functional team of developers, data scientists, and application specialists and plays a key role in advancing technology capabilities, including AI-driven development tools (link removed)> This position is also part of a succession plan for future IT leadership , offering long-term growth potential. Key Responsibilities Lead, mentor, and manage a team of software developers, data scientists, analysts, and product owners (approximately 1525+ team members). Oversee development and support of ERP systems (JD Edwards preferred), custom applications, and data platforms (link removed)> Collaborate with business and technical stakeholders to define requirements and deliver scalable, value-driven solutions. Manage software delivery using agile methodologies (Scrum, Kanban), ensuring timelines, budgets, and quality standards are met. Establish and track team performance metrics (KPIs/OKRs) and system effectiveness. Drive system support, troubleshooting, and end-user training initiatives (link removed)> Ensure adherence to security, compliance, and data privacy standards (link removed)> Promote adoption of modern development practices , including AI-enabled tools and automation. Stay current on emerging technologies and recommend improvements to systems and processes. Required Qualifications Bachelors degree in Information Technology, Software Engineering, or related field (or equivalent experience). 710 years of experience in software development or application management. 35 years of experience managing teams , including teams of 1525+ professionals. Experience with (link removed) and JavaScript development environments (link removed)> Experience with ERP systems (JD Edwards preferred). Experience in a manufacturing environment required. Strong understanding of agile methodologies and secure coding practices (link removed)> Experience leading or supporting data science or analytics teams , including exposure to machine learning and data governance. Preferred Qualifications Experience with DevOps practices , CI/CD pipelines, and automated testing. Experience leveraging AI development tools to improve productivity and software outcomes. Exposure to enterprise architecture and system integration across IT and OT environments (link removed)> Compensation & Work Model Compensation: Tiered structure based on experience and ability to drive advanced technology initiatives. Bonus: Target bonus of approximately 10% , based on a rolling multi-year salary structure. Equity/Ownership: Participation in an Employee Stock Ownership Plan (ESOP) ( 15% annual contribution). Work Model: On-site role. Growth Opportunity Identified as a successor role for future IT leadership within approximately 1218 months. Opportunity to shape and modernize IT/OT systems and software strategy in a manufacturing environment.
Role Summary Our client, a rapidly growing AI infrastructure company, is seeking multiple AI Engineers (Enterprise) to help design, build, and deploy production-grade generative AI solutions for enterprise customers. This is a customer-facing, hands-on engineering role that combines deep technical expertise with solution architecture and client engagement. You will partner closely with enterprise organizations to transform generative AI concepts into scalable production systems while collaborating with internal engineering and product teams to drive innovation. Strong candidates will have experience deploying AI/ML solutions in production environments, working with large language models (LLMs), and supporting enterprise customers through complex technical implementations. Key Responsibilities Enterprise AI Solutions Lead technical discovery sessions with enterprise customers to understand business requirements and define AI solution strategies. Scope and execute proof-of-concept (POC) projects, performance testing, and solution evaluations. Design, build, and deploy production-ready AI applications within customer environments. Recommend appropriate model architectures, deployment strategies, and infrastructure based on customer requirements. Advise customers on model fine-tuning and optimization techniques, including supervised fine-tuning and other modern training approaches. Develop evaluation frameworks to measure model performance and production readiness. Customer Engagement Serve as the primary technical advisor for enterprise customers throughout implementation and deployment. Build relationships with technical and executive stakeholders. Guide customers through infrastructure, security, and compliance considerations. Support successful production rollouts and ongoing technical adoption. Cross-Functional Collaboration Partner with Product and Engineering teams to communicate customer feedback and influence product improvements. Identify recurring customer challenges and contribute to product roadmap discussions. Collaborate internally to improve deployment processes and customer success. Required Qualifications 3+ years of experience in customer-facing AI/ML, machine learning infrastructure, solutions engineering, or related technical roles Proven experience deploying AI/ML applications into production environments Hands-on experience with large language model (LLM) inference and/or model training using open-source model frameworks Strong Python programming skills Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) Experience with containerization and orchestration technologies, including Kubernetes Excellent communication skills with the ability to engage both technical teams and executive stakeholders Ability to manage multiple enterprise projects in a fast-paced environment Preferred Qualifications Experience with modern LLM fine-tuning methodologies such as supervised fine-tuning (SFT) and other advanced optimization techniques Background in enterprise AI solution architecture or technical consulting Experience working within high-growth startup environments Strong understanding of enterprise infrastructure, security, and compliance requirements Experience supporting large-scale customer deployments Ideal Candidate Profile Successful candidates typically have: Experience building and deploying production AI solutions rather than purely research or advisory work Strong knowledge of open-source LLM frameworks and inference platforms Experience working directly with enterprise customers throughout implementation and deployment The ability to translate complex technical concepts for both engineering teams and executive leadership A collaborative mindset with a passion for solving complex customer challenges Experience working in fast-paced, high-growth environments Schedule & Travel Full-time position Remote-friendly within the United States Preference for candidates located near major East or West Coast metropolitan areas, though exceptional remote candidates will be considered Regular domestic travel to customer sites for technical discovery, proof-of-concept implementations, and production deployments Compensation Competitive base salary Performance-based bonus or on-target earnings (OTE) Equity package Compensation commensurate with experience and qualifications Benefits Comprehensive medical, dental, and vision insurance Equity participation Performance-based bonus opportunities Flexible remote work environment Professional development and career growth opportunities Opportunity to work with cutting-edge generative AI technologies on enterprise-scale deployments Collaborative, fast-paced engineering culture
07/31/2026
Role Summary Our client, a rapidly growing AI infrastructure company, is seeking multiple AI Engineers (Enterprise) to help design, build, and deploy production-grade generative AI solutions for enterprise customers. This is a customer-facing, hands-on engineering role that combines deep technical expertise with solution architecture and client engagement. You will partner closely with enterprise organizations to transform generative AI concepts into scalable production systems while collaborating with internal engineering and product teams to drive innovation. Strong candidates will have experience deploying AI/ML solutions in production environments, working with large language models (LLMs), and supporting enterprise customers through complex technical implementations. Key Responsibilities Enterprise AI Solutions Lead technical discovery sessions with enterprise customers to understand business requirements and define AI solution strategies. Scope and execute proof-of-concept (POC) projects, performance testing, and solution evaluations. Design, build, and deploy production-ready AI applications within customer environments. Recommend appropriate model architectures, deployment strategies, and infrastructure based on customer requirements. Advise customers on model fine-tuning and optimization techniques, including supervised fine-tuning and other modern training approaches. Develop evaluation frameworks to measure model performance and production readiness. Customer Engagement Serve as the primary technical advisor for enterprise customers throughout implementation and deployment. Build relationships with technical and executive stakeholders. Guide customers through infrastructure, security, and compliance considerations. Support successful production rollouts and ongoing technical adoption. Cross-Functional Collaboration Partner with Product and Engineering teams to communicate customer feedback and influence product improvements. Identify recurring customer challenges and contribute to product roadmap discussions. Collaborate internally to improve deployment processes and customer success. Required Qualifications 3+ years of experience in customer-facing AI/ML, machine learning infrastructure, solutions engineering, or related technical roles Proven experience deploying AI/ML applications into production environments Hands-on experience with large language model (LLM) inference and/or model training using open-source model frameworks Strong Python programming skills Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) Experience with containerization and orchestration technologies, including Kubernetes Excellent communication skills with the ability to engage both technical teams and executive stakeholders Ability to manage multiple enterprise projects in a fast-paced environment Preferred Qualifications Experience with modern LLM fine-tuning methodologies such as supervised fine-tuning (SFT) and other advanced optimization techniques Background in enterprise AI solution architecture or technical consulting Experience working within high-growth startup environments Strong understanding of enterprise infrastructure, security, and compliance requirements Experience supporting large-scale customer deployments Ideal Candidate Profile Successful candidates typically have: Experience building and deploying production AI solutions rather than purely research or advisory work Strong knowledge of open-source LLM frameworks and inference platforms Experience working directly with enterprise customers throughout implementation and deployment The ability to translate complex technical concepts for both engineering teams and executive leadership A collaborative mindset with a passion for solving complex customer challenges Experience working in fast-paced, high-growth environments Schedule & Travel Full-time position Remote-friendly within the United States Preference for candidates located near major East or West Coast metropolitan areas, though exceptional remote candidates will be considered Regular domestic travel to customer sites for technical discovery, proof-of-concept implementations, and production deployments Compensation Competitive base salary Performance-based bonus or on-target earnings (OTE) Equity package Compensation commensurate with experience and qualifications Benefits Comprehensive medical, dental, and vision insurance Equity participation Performance-based bonus opportunities Flexible remote work environment Professional development and career growth opportunities Opportunity to work with cutting-edge generative AI technologies on enterprise-scale deployments Collaborative, fast-paced engineering culture
At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Lead Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a visionary Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You'll Do Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications. Architect and implement scalable services that integrate with internal and third-party financial platforms. Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation. Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Mentor junior engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in AI, financial systems, and cloud-native development to inform strategic decisions. Required Qualifications & Skills: 7+ years of software engineering experience, including leadership of complex projects. Proven experience with financial systems, licensing workflows, or royalty management platforms. Hands-on expertise of developing and deploying custom AI solutions using LLMs to automate business processes or improve business outcomes in enterprise environments . Excellent programming skills in languages such as Java and Python. Experience with cloud platforms (AWS,GCP) and container orchestration (e.g., Kubernetes). Agile development experience and familiarity with CI/CD pipelines. Excellent communication and stakeholder engagement skills. Preferred Qualifications Experience with licensing systems in media, entertainment, or digital content industries. Familiarity with financial compliance standards and audit processes. Education Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree in Technology is a plus. The hiring range for this position in Glendale California is $150,000-$180,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/31/2026
Full time
At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Lead Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a visionary Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You'll Do Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications. Architect and implement scalable services that integrate with internal and third-party financial platforms. Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation. Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. Mentor junior engineers and foster a culture of innovation, inclusion, and technical excellence. Stay current with emerging technologies in AI, financial systems, and cloud-native development to inform strategic decisions. Required Qualifications & Skills: 7+ years of software engineering experience, including leadership of complex projects. Proven experience with financial systems, licensing workflows, or royalty management platforms. Hands-on expertise of developing and deploying custom AI solutions using LLMs to automate business processes or improve business outcomes in enterprise environments . Excellent programming skills in languages such as Java and Python. Experience with cloud platforms (AWS,GCP) and container orchestration (e.g., Kubernetes). Agile development experience and familiarity with CI/CD pipelines. Excellent communication and stakeholder engagement skills. Preferred Qualifications Experience with licensing systems in media, entertainment, or digital content industries. Familiarity with financial compliance standards and audit processes. Education Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master's degree in Technology is a plus. The hiring range for this position in Glendale California is $150,000-$180,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Title: Senior Techno-Functional Business Analyst / Functional Analyst Location: Jersey City, NJ Duration: Contract - 11 months Pay Range: $68.25/hr (W2) Job ID: 406513 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Application Programmer III to support the Enterprise Capital Management Technology team within Corporate Treasury. The role will contribute to a greenfield technology transformation focused on building capabilities for data ingestion, rules authoring and execution, and analytics to replace legacy treasury applications and support critical regulatory programs including Basel IV and FRTB. Responsibilities: Partner with business and functional stakeholders to elicit and document requirements for capital management solutions. Design and validate techno-functional solutions for data ingestion, rules engines, and analytics components. Analyze and model data with SQL on platforms such as Oracle Exadata to support reporting and calculations. Collaborate with engineering teams using Python, Java, or .NET to implement scalable services and integrations. Define test cases, validate results, and ensure delivery quality for regulatory use cases including Credit Risk, Market Risk, and Capital calculations. Identify risks, issues, and improvement opportunities across processes and systems. Required Skills & Qualifications: 10+ years of overall experience with at least 3+ years as a Business Analyst or Functional Analyst in a delivery-focused techno-functional role. Proficiency in SQL with experience on enterprise databases, preferably Oracle Exadata. Programming experience with Python or Java/.NET for solution design and collaboration. Strong analytical and problem-solving skills with attention to detail and self-direction. Deep understanding of Capital Markets with focus on Credit Risk, Market Risk, or Capital calculations. Knowledge of regulations in Capital Markets such as Basel, CRR, and CRD IV. Preferred Skills: Ability to read and understand Python code and run reports in MicroStrategy. Knowledge of Big Data architectures and cloud computing. Familiarity with machine learning techniques, classifiers, and statistical methods. Excellent communication skills and ability to collaborate across technology and business teams. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
07/31/2026
Full time
Job Title: Senior Techno-Functional Business Analyst / Functional Analyst Location: Jersey City, NJ Duration: Contract - 11 months Pay Range: $68.25/hr (W2) Job ID: 406513 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Application Programmer III to support the Enterprise Capital Management Technology team within Corporate Treasury. The role will contribute to a greenfield technology transformation focused on building capabilities for data ingestion, rules authoring and execution, and analytics to replace legacy treasury applications and support critical regulatory programs including Basel IV and FRTB. Responsibilities: Partner with business and functional stakeholders to elicit and document requirements for capital management solutions. Design and validate techno-functional solutions for data ingestion, rules engines, and analytics components. Analyze and model data with SQL on platforms such as Oracle Exadata to support reporting and calculations. Collaborate with engineering teams using Python, Java, or .NET to implement scalable services and integrations. Define test cases, validate results, and ensure delivery quality for regulatory use cases including Credit Risk, Market Risk, and Capital calculations. Identify risks, issues, and improvement opportunities across processes and systems. Required Skills & Qualifications: 10+ years of overall experience with at least 3+ years as a Business Analyst or Functional Analyst in a delivery-focused techno-functional role. Proficiency in SQL with experience on enterprise databases, preferably Oracle Exadata. Programming experience with Python or Java/.NET for solution design and collaboration. Strong analytical and problem-solving skills with attention to detail and self-direction. Deep understanding of Capital Markets with focus on Credit Risk, Market Risk, or Capital calculations. Knowledge of regulations in Capital Markets such as Basel, CRR, and CRD IV. Preferred Skills: Ability to read and understand Python code and run reports in MicroStrategy. Knowledge of Big Data architectures and cloud computing. Familiarity with machine learning techniques, classifiers, and statistical methods. Excellent communication skills and ability to collaborate across technology and business teams. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.